diff --git a/404.html b/404.html index 4a51126d36..d5ec931ab5 100644 --- a/404.html +++ b/404.html @@ -10,7 +10,7 @@ - + diff --git a/Components/components-logic.html b/Components/components-logic.html index cfc51dfacf..7e073577ed 100644 --- a/Components/components-logic.html +++ b/Components/components-logic.html @@ -10,7 +10,7 @@ - + diff --git a/Components/components-memories.html b/Components/components-memories.html index a6a4011ce5..5da9f1fe58 100644 --- a/Components/components-memories.html +++ b/Components/components-memories.html @@ -10,7 +10,7 @@ - + diff --git a/Components/components-tools.html b/Components/components-tools.html index 46e585b2c2..ae9beff3d7 100644 --- a/Components/components-tools.html +++ b/Components/components-tools.html @@ -10,7 +10,7 @@ - + diff --git a/agents-overview.html b/agents-overview.html index 42586fbb96..28224ac25b 100644 --- a/agents-overview.html +++ b/agents-overview.html @@ -10,7 +10,7 @@ - + diff --git a/agents-tool-calling-agent-component.html b/agents-tool-calling-agent-component.html index c9c18a14e6..57fc79ee85 100644 --- a/agents-tool-calling-agent-component.html +++ b/agents-tool-calling-agent-component.html @@ -10,7 +10,7 @@ - + diff --git a/assets/js/f66238ae.2d1e00e7.js b/assets/js/f66238ae.2d1e00e7.js new file mode 100644 index 0000000000..d93fe58d52 --- /dev/null +++ b/assets/js/f66238ae.2d1e00e7.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[5772],{9481:(e,t,r)=>{r.r(t),r.d(t,{assets:()=>l,contentTitle:()=>n,default:()=>o,frontMatter:()=>i,metadata:()=>c,toc:()=>h});var s=r(4848),d=r(8453);const i={title:"Vector Stores",sidebar_position:7,slug:"/components-vector-stores"},n="Vector Stores",c={id:"Components/components-vector-stores",title:"Vector Stores",description:"Vector databases are used to store and search for vectors. They can be used to store embeddings, search for similar vectors, and perform other vector operations.",source:"@site/docs/Components/components-vector-stores.md",sourceDirName:"Components",slug:"/components-vector-stores",permalink:"/components-vector-stores",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:7,frontMatter:{title:"Vector Stores",sidebar_position:7,slug:"/components-vector-stores"},sidebar:"defaultSidebar",previous:{title:"Embedding Models",permalink:"/components-embedding-models"},next:{title:"Custom Components",permalink:"/components-custom-components"}},l={},h=[{value:"Astra DB Vector Store",id:"astra-db-vector-store",level:2},{value:"Parameters",id:"parameters",level:3},{value:"Inputs",id:"inputs",level:4},{value:"Outputs",id:"outputs",level:4},{value:"Cassandra",id:"cassandra",level:2},{value:"Parameters",id:"parameters-1",level:3},{value:"Inputs",id:"inputs-1",level:4},{value:"Outputs",id:"outputs-1",level:4},{value:"Cassandra Graph Vector Store",id:"cassandra-graph-vector-store",level:2},{value:"Parameters",id:"parameters-2",level:3},{value:"Inputs",id:"inputs-2",level:4},{value:"Outputs",id:"outputs-2",level:4},{value:"Chroma DB",id:"chroma-db",level:2},{value:"Parameters",id:"parameters-3",level:3},{value:"Inputs",id:"inputs-3",level:4},{value:"Outputs",id:"outputs-3",level:4},{value:"Clickhouse",id:"clickhouse",level:2},{value:"Parameters",id:"parameters-4",level:3},{value:"Inputs",id:"inputs-4",level:4},{value:"Outputs",id:"outputs-4",level:4},{value:"Couchbase",id:"couchbase",level:2},{value:"Parameters",id:"parameters-5",level:3},{value:"Inputs",id:"inputs-5",level:4},{value:"Outputs",id:"outputs-5",level:4},{value:"FAISS",id:"faiss",level:2},{value:"Parameters",id:"parameters-6",level:3},{value:"Inputs",id:"inputs-6",level:4},{value:"Outputs",id:"outputs-6",level:4},{value:"Hyper-Converged Database (HCD) Vector Store",id:"hyper-converged-database-hcd-vector-store",level:2},{value:"Parameters",id:"parameters-7",level:3},{value:"Inputs",id:"inputs-7",level:4},{value:"Outputs",id:"outputs-7",level:4},{value:"Milvus",id:"milvus",level:2},{value:"Parameters",id:"parameters-8",level:3},{value:"Inputs",id:"inputs-8",level:4},{value:"Outputs",id:"outputs-8",level:4},{value:"MongoDB Atlas",id:"mongodb-atlas",level:2},{value:"Parameters",id:"parameters-9",level:3},{value:"Inputs",id:"inputs-9",level:4},{value:"Outputs",id:"outputs-9",level:4},{value:"PGVector",id:"pgvector",level:2},{value:"Parameters",id:"parameters-10",level:3},{value:"Inputs",id:"inputs-10",level:4},{value:"Outputs",id:"outputs-10",level:4},{value:"Pinecone",id:"pinecone",level:2},{value:"Parameters",id:"parameters-11",level:3},{value:"Inputs",id:"inputs-11",level:4},{value:"Outputs",id:"outputs-11",level:4},{value:"Qdrant",id:"qdrant",level:2},{value:"Parameters",id:"parameters-12",level:3},{value:"Inputs",id:"inputs-12",level:4},{value:"Outputs",id:"outputs-12",level:4},{value:"Redis",id:"redis",level:2},{value:"Parameters",id:"parameters-13",level:3},{value:"Inputs",id:"inputs-13",level:4},{value:"Outputs",id:"outputs-13",level:4},{value:"Supabase",id:"supabase",level:2},{value:"Parameters",id:"parameters-14",level:3},{value:"Inputs",id:"inputs-14",level:4},{value:"Outputs",id:"outputs-14",level:4},{value:"Upstash",id:"upstash",level:2},{value:"Parameters",id:"parameters-15",level:3},{value:"Inputs",id:"inputs-15",level:4},{value:"Outputs",id:"outputs-15",level:4},{value:"Vectara",id:"vectara",level:2},{value:"Parameters",id:"parameters-16",level:3},{value:"Inputs",id:"inputs-16",level:4},{value:"Outputs",id:"outputs-16",level:4},{value:"Vectara Search",id:"vectara-search",level:2},{value:"Parameters",id:"parameters-17",level:3},{value:"Inputs",id:"inputs-17",level:4},{value:"Outputs",id:"outputs-17",level:4},{value:"Weaviate",id:"weaviate",level:2},{value:"Parameters",id:"parameters-18",level:3},{value:"Inputs",id:"inputs-18",level:4},{value:"Outputs",id:"outputs-18",level:4},{value:"Weaviate Search",id:"weaviate-search",level:2},{value:"Parameters",id:"parameters-19",level:3},{value:"Inputs",id:"inputs-19",level:4},{value:"Outputs",id:"outputs-19",level:4}];function a(e){const t={a:"a",h1:"h1",h2:"h2",h3:"h3",h4:"h4",header:"header",p:"p",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",...(0,d.R)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(t.header,{children:(0,s.jsx)(t.h1,{id:"vector-stores",children:"Vector Stores"})}),"\n",(0,s.jsx)(t.p,{children:"Vector databases are used to store and search for vectors. They can be used to store embeddings, search for similar vectors, and perform other vector operations."}),"\n",(0,s.jsx)(t.h2,{id:"astra-db-vector-store",children:"Astra DB Vector Store"}),"\n",(0,s.jsx)(t.p,{children:"This component implements a Vector Store using Astra DB with search capabilities."}),"\n",(0,s.jsxs)(t.p,{children:["For more information, see the ",(0,s.jsx)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/create-database.html",children:"DataStax documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Display Name"}),(0,s.jsx)(t.th,{children:"Info"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"collection_name"}),(0,s.jsx)(t.td,{children:"Collection Name"}),(0,s.jsx)(t.td,{children:"The name of the collection within Astra DB where the vectors will be stored (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"token"}),(0,s.jsx)(t.td,{children:"Astra DB Application Token"}),(0,s.jsx)(t.td,{children:"Authentication token for accessing Astra DB (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"api_endpoint"}),(0,s.jsx)(t.td,{children:"API Endpoint"}),(0,s.jsx)(t.td,{children:"API endpoint URL for the Astra DB service (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_input"}),(0,s.jsx)(t.td,{children:"Search Input"}),(0,s.jsx)(t.td,{children:"Query string for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Ingest Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"namespace"}),(0,s.jsx)(t.td,{children:"Namespace"}),(0,s.jsx)(t.td,{children:"Optional namespace within Astra DB to use for the collection"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding_choice"}),(0,s.jsx)(t.td,{children:"Embedding Model or Astra Vectorize"}),(0,s.jsx)(t.td,{children:"Determines whether to use an Embedding Model or Astra Vectorize for the collection"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embedding Model"}),(0,s.jsx)(t.td,{children:"Allows an embedding model configuration (when using Embedding Model)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"provider"}),(0,s.jsx)(t.td,{children:"Vectorize Provider"}),(0,s.jsx)(t.td,{children:"Provider for Astra Vectorize (when using Astra Vectorize)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"metric"}),(0,s.jsx)(t.td,{children:"Metric"}),(0,s.jsx)(t.td,{children:"Optional distance metric for vector comparisons"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"batch_size"}),(0,s.jsx)(t.td,{children:"Batch Size"}),(0,s.jsx)(t.td,{children:"Optional number of data to process in a single batch"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"setup_mode"}),(0,s.jsx)(t.td,{children:"Setup Mode"}),(0,s.jsx)(t.td,{children:'Configuration mode for setting up the vector store (options: "Sync", "Async", "Off", default: "Sync")'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"pre_delete_collection"}),(0,s.jsx)(t.td,{children:"Pre Delete Collection"}),(0,s.jsx)(t.td,{children:"Boolean flag to determine whether to delete the collection before creating a new one"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Number of Results"}),(0,s.jsx)(t.td,{children:"Number of results to return in similarity search (default: 4)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_type"}),(0,s.jsx)(t.td,{children:"Search Type"}),(0,s.jsx)(t.td,{children:'Search type to use (options: "Similarity", "Similarity with score threshold", "MMR (Max Marginal Relevance)")'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_score_threshold"}),(0,s.jsx)(t.td,{children:"Search Score Threshold"}),(0,s.jsx)(t.td,{children:"Minimum similarity score threshold for search results"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_filter"}),(0,s.jsx)(t.td,{children:"Search Metadata Filter"}),(0,s.jsx)(t.td,{children:"Optional dictionary of filters to apply to the search query"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Display Name"}),(0,s.jsx)(t.th,{children:"Info"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"Vector Store"}),(0,s.jsx)(t.td,{children:"Built Astra DB vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"Search Results"}),(0,s.jsx)(t.td,{children:"Results of the similarity search as a list of Data objects"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"cassandra",children:"Cassandra"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a Cassandra Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://cassandra.apache.org/doc/latest/cassandra/vector-search/overview.html",children:"Cassandra documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-1",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-1",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"database_ref"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Contact points for the database or AstraDB database ID"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"username"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Username for the database (leave empty for AstraDB)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"token"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"User password for the database or AstraDB token"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"keyspace"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Table Keyspace or AstraDB namespace"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"table_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Name of the table or AstraDB collection"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ttl_seconds"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Time-to-live for added texts"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"batch_size"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of data to process in a single batch"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"setup_mode"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Configuration mode for setting up the Cassandra table"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"cluster_kwargs"}),(0,s.jsx)(t.td,{children:"Dict"}),(0,s.jsx)(t.td,{children:"Additional keyword arguments for the Cassandra cluster"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Query for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Embedding function to use"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return in search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_type"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Type of search to perform"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_score_threshold"}),(0,s.jsx)(t.td,{children:"Float"}),(0,s.jsx)(t.td,{children:"Minimum similarity score for search results"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_filter"}),(0,s.jsx)(t.td,{children:"Dict"}),(0,s.jsx)(t.td,{children:"Metadata filters for search query"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"body_search"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Document textual search terms"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"enable_body_search"}),(0,s.jsx)(t.td,{children:"Boolean"}),(0,s.jsx)(t.td,{children:"Flag to enable body search"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-1",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"Cassandra"}),(0,s.jsx)(t.td,{children:"Cassandra vector store instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"cassandra-graph-vector-store",children:"Cassandra Graph Vector Store"}),"\n",(0,s.jsx)(t.p,{children:"This component implements a Cassandra Graph Vector Store with search capabilities."}),"\n",(0,s.jsx)(t.h3,{id:"parameters-2",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-2",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Display Name"}),(0,s.jsx)(t.th,{children:"Info"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"database_ref"}),(0,s.jsx)(t.td,{children:"Contact Points / Astra Database ID"}),(0,s.jsx)(t.td,{children:"Contact points for the database or AstraDB database ID (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"username"}),(0,s.jsx)(t.td,{children:"Username"}),(0,s.jsx)(t.td,{children:"Username for the database (leave empty for AstraDB)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"token"}),(0,s.jsx)(t.td,{children:"Password / AstraDB Token"}),(0,s.jsx)(t.td,{children:"User password for the database or AstraDB token (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"keyspace"}),(0,s.jsx)(t.td,{children:"Keyspace"}),(0,s.jsx)(t.td,{children:"Table Keyspace or AstraDB namespace (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"table_name"}),(0,s.jsx)(t.td,{children:"Table Name"}),(0,s.jsx)(t.td,{children:"The name of the table or AstraDB collection where vectors will be stored (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"setup_mode"}),(0,s.jsx)(t.td,{children:"Setup Mode"}),(0,s.jsx)(t.td,{children:'Configuration mode for setting up the Cassandra table (options: "Sync", "Off", default: "Sync")'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"cluster_kwargs"}),(0,s.jsx)(t.td,{children:"Cluster arguments"}),(0,s.jsx)(t.td,{children:"Optional dictionary of additional keyword arguments for the Cassandra cluster"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"Search Query"}),(0,s.jsx)(t.td,{children:"Query string for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Ingest Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store (list of Data objects)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embedding"}),(0,s.jsx)(t.td,{children:"Embedding model to use"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Number of Results"}),(0,s.jsx)(t.td,{children:"Number of results to return in similarity search (default: 4)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_type"}),(0,s.jsx)(t.td,{children:"Search Type"}),(0,s.jsx)(t.td,{children:'Search type to use (options: "Traversal", "MMR traversal", "Similarity", "Similarity with score threshold", "MMR (Max Marginal Relevance)", default: "Traversal")'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"depth"}),(0,s.jsx)(t.td,{children:"Depth of traversal"}),(0,s.jsx)(t.td,{children:'The maximum depth of edges to traverse (for "Traversal" or "MMR traversal" search types, default: 1)'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_score_threshold"}),(0,s.jsx)(t.td,{children:"Search Score Threshold"}),(0,s.jsx)(t.td,{children:'Minimum similarity score threshold for search results (for "Similarity with score threshold" search type)'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_filter"}),(0,s.jsx)(t.td,{children:"Search Metadata Filter"}),(0,s.jsx)(t.td,{children:"Optional dictionary of filters to apply to the search query"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-2",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Display Name"}),(0,s.jsx)(t.th,{children:"Info"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"Vector Store"}),(0,s.jsx)(t.td,{children:"Built Cassandra Graph vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"Search Results"}),(0,s.jsx)(t.td,{children:"Results of the similarity search as a list of Data objects"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"chroma-db",children:"Chroma DB"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a Chroma Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://docs.trychroma.com/",children:"Chroma documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-3",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-3",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"collection_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:'The name of the Chroma collection. Default: "langflow".'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"persist_directory"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"The directory to persist the Chroma database."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"The query to search for in the vector store."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"The data to ingest into the vector store (list of Data objects)."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"The embedding function to use for the vector store."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"chroma_server_cors_allow_origins"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"CORS allow origins for the Chroma server."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"chroma_server_host"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Host for the Chroma server."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"chroma_server_http_port"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"HTTP port for the Chroma server."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"chroma_server_grpc_port"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"gRPC port for the Chroma server."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"chroma_server_ssl_enabled"}),(0,s.jsx)(t.td,{children:"Boolean"}),(0,s.jsx)(t.td,{children:"Enable SSL for the Chroma server."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"allow_duplicates"}),(0,s.jsx)(t.td,{children:"Boolean"}),(0,s.jsx)(t.td,{children:"Allow duplicate documents in the vector store."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_type"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:'Type of search to perform: "Similarity" or "MMR".'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return from the search. Default: 10."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"limit"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Limit the number of records to compare when Allow Duplicates is False."})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-3",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"Chroma"}),(0,s.jsx)(t.td,{children:"Chroma vector store instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"clickhouse",children:"Clickhouse"}),"\n",(0,s.jsxs)(t.p,{children:["This component implements a Clickhouse Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://clickhouse.com/docs/en/intro",children:"CLickhouse Documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-4",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-4",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Display Name"}),(0,s.jsx)(t.th,{children:"Info"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"host"}),(0,s.jsx)(t.td,{children:"hostname"}),(0,s.jsx)(t.td,{children:'Clickhouse server hostname (required, default: "localhost")'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"port"}),(0,s.jsx)(t.td,{children:"port"}),(0,s.jsx)(t.td,{children:"Clickhouse server port (required, default: 8123)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"database"}),(0,s.jsx)(t.td,{children:"database"}),(0,s.jsx)(t.td,{children:"Clickhouse database name (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"table"}),(0,s.jsx)(t.td,{children:"Table name"}),(0,s.jsx)(t.td,{children:"Clickhouse table name (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"username"}),(0,s.jsx)(t.td,{children:"The ClickHouse user name."}),(0,s.jsx)(t.td,{children:"Username for authentication (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"password"}),(0,s.jsx)(t.td,{children:"The password for username."}),(0,s.jsx)(t.td,{children:"Password for authentication (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"index_type"}),(0,s.jsx)(t.td,{children:"index_type"}),(0,s.jsx)(t.td,{children:'Type of the index (options: "annoy", "vector_similarity", default: "annoy")'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"metric"}),(0,s.jsx)(t.td,{children:"metric"}),(0,s.jsx)(t.td,{children:'Metric to compute distance (options: "angular", "euclidean", "manhattan", "hamming", "dot", default: "angular")'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"secure"}),(0,s.jsx)(t.td,{children:"Use https/TLS"}),(0,s.jsx)(t.td,{children:"Overrides inferred values from the interface or port arguments (default: false)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"index_param"}),(0,s.jsx)(t.td,{children:"Param of the index"}),(0,s.jsx)(t.td,{children:"Index parameters (default: \"'L2Distance',100\")"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"index_query_params"}),(0,s.jsx)(t.td,{children:"index query params"}),(0,s.jsx)(t.td,{children:"Additional index query parameters"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"Search Query"}),(0,s.jsx)(t.td,{children:"Query string for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Ingest Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embedding"}),(0,s.jsx)(t.td,{children:"Embedding model to use"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Number of Results"}),(0,s.jsx)(t.td,{children:"Number of results to return in similarity search (default: 4)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"score_threshold"}),(0,s.jsx)(t.td,{children:"Score threshold"}),(0,s.jsx)(t.td,{children:"Threshold for similarity scores"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-4",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Display Name"}),(0,s.jsx)(t.th,{children:"Info"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"Vector Store"}),(0,s.jsx)(t.td,{children:"Built Clickhouse vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"Search Results"}),(0,s.jsx)(t.td,{children:"Results of the similarity search as a list of Data objects"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"couchbase",children:"Couchbase"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a Couchbase Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://docs.couchbase.com/home/index.html",children:"Couchbase documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-5",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-5",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"couchbase_connection_string"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"Couchbase Cluster connection string (required)."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"couchbase_username"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Couchbase username (required)."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"couchbase_password"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"Couchbase password (required)."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"bucket_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Name of the Couchbase bucket (required)."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"scope_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Name of the Couchbase scope (required)."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"collection_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Name of the Couchbase collection (required)."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"index_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Name of the Couchbase index (required)."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"The query to search for in the vector store."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"The data to ingest into the vector store (list of Data objects)."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"The embedding function to use for the vector store."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return from the search. Default: 4 (advanced)."})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-5",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsx)(t.tbody,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"CouchbaseVectorStore"}),(0,s.jsx)(t.td,{children:"A Couchbase vector store instance configured with the specified parameters."})]})})]}),"\n",(0,s.jsx)(t.h2,{id:"faiss",children:"FAISS"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a FAISS Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://faiss.ai/index.html",children:"FAISS documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-6",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-6",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"index_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:'The name of the FAISS index. Default: "langflow_index".'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"persist_directory"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Path to save the FAISS index. It will be relative to where Langflow is running."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"The query to search for in the vector store."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"The data to ingest into the vector store (list of Data objects or documents)."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"allow_dangerous_deserialization"}),(0,s.jsx)(t.td,{children:"Boolean"}),(0,s.jsx)(t.td,{children:"Set to True to allow loading pickle files from untrusted sources. Default: True (advanced)."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"The embedding function to use for the vector store."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return from the search. Default: 4 (advanced)."})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-6",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsx)(t.tbody,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"FAISS"}),(0,s.jsx)(t.td,{children:"A FAISS vector store instance configured with the specified parameters."})]})})]}),"\n",(0,s.jsx)(t.h2,{id:"hyper-converged-database-hcd-vector-store",children:"Hyper-Converged Database (HCD) Vector Store"}),"\n",(0,s.jsx)(t.p,{children:"This component implements a Vector Store using HCD."}),"\n",(0,s.jsx)(t.h3,{id:"parameters-7",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-7",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Display Name"}),(0,s.jsx)(t.th,{children:"Info"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"collection_name"}),(0,s.jsx)(t.td,{children:"Collection Name"}),(0,s.jsx)(t.td,{children:"The name of the collection within HCD where the vectors will be stored (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"username"}),(0,s.jsx)(t.td,{children:"HCD Username"}),(0,s.jsx)(t.td,{children:'Authentication username for accessing HCD (default: "hcd-superuser", required)'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"password"}),(0,s.jsx)(t.td,{children:"HCD Password"}),(0,s.jsx)(t.td,{children:"Authentication password for accessing HCD (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"api_endpoint"}),(0,s.jsx)(t.td,{children:"HCD API Endpoint"}),(0,s.jsx)(t.td,{children:"API endpoint URL for the HCD service (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_input"}),(0,s.jsx)(t.td,{children:"Search Input"}),(0,s.jsx)(t.td,{children:"Query string for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Ingest Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"namespace"}),(0,s.jsx)(t.td,{children:"Namespace"}),(0,s.jsx)(t.td,{children:'Optional namespace within HCD to use for the collection (default: "default_namespace")'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ca_certificate"}),(0,s.jsx)(t.td,{children:"CA Certificate"}),(0,s.jsx)(t.td,{children:"Optional CA certificate for TLS connections to HCD"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"metric"}),(0,s.jsx)(t.td,{children:"Metric"}),(0,s.jsx)(t.td,{children:'Optional distance metric for vector comparisons (options: "cosine", "dot_product", "euclidean")'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"batch_size"}),(0,s.jsx)(t.td,{children:"Batch Size"}),(0,s.jsx)(t.td,{children:"Optional number of data to process in a single batch"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"bulk_insert_batch_concurrency"}),(0,s.jsx)(t.td,{children:"Bulk Insert Batch Concurrency"}),(0,s.jsx)(t.td,{children:"Optional concurrency level for bulk insert operations"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"bulk_insert_overwrite_concurrency"}),(0,s.jsx)(t.td,{children:"Bulk Insert Overwrite Concurrency"}),(0,s.jsx)(t.td,{children:"Optional concurrency level for bulk insert operations that overwrite existing data"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"bulk_delete_concurrency"}),(0,s.jsx)(t.td,{children:"Bulk Delete Concurrency"}),(0,s.jsx)(t.td,{children:"Optional concurrency level for bulk delete operations"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"setup_mode"}),(0,s.jsx)(t.td,{children:"Setup Mode"}),(0,s.jsx)(t.td,{children:'Configuration mode for setting up the vector store (options: "Sync", "Async", "Off", default: "Sync")'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"pre_delete_collection"}),(0,s.jsx)(t.td,{children:"Pre Delete Collection"}),(0,s.jsx)(t.td,{children:"Boolean flag to determine whether to delete the collection before creating a new one"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"metadata_indexing_include"}),(0,s.jsx)(t.td,{children:"Metadata Indexing Include"}),(0,s.jsx)(t.td,{children:"Optional list of metadata fields to include in the indexing"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embedding or Astra Vectorize"}),(0,s.jsx)(t.td,{children:"Allows either an embedding model or an Astra Vectorize configuration"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"metadata_indexing_exclude"}),(0,s.jsx)(t.td,{children:"Metadata Indexing Exclude"}),(0,s.jsx)(t.td,{children:"Optional list of metadata fields to exclude from the indexing"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"collection_indexing_policy"}),(0,s.jsx)(t.td,{children:"Collection Indexing Policy"}),(0,s.jsx)(t.td,{children:"Optional dictionary defining the indexing policy for the collection"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Number of Results"}),(0,s.jsx)(t.td,{children:"Number of results to return in similarity search (default: 4)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_type"}),(0,s.jsx)(t.td,{children:"Search Type"}),(0,s.jsx)(t.td,{children:'Search type to use (options: "Similarity", "Similarity with score threshold", "MMR (Max Marginal Relevance)", default: "Similarity")'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_score_threshold"}),(0,s.jsx)(t.td,{children:"Search Score Threshold"}),(0,s.jsx)(t.td,{children:"Minimum similarity score threshold for search results (default: 0)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_filter"}),(0,s.jsx)(t.td,{children:"Search Metadata Filter"}),(0,s.jsx)(t.td,{children:"Optional dictionary of filters to apply to the search query"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-7",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Display Name"}),(0,s.jsx)(t.th,{children:"Info"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"Vector Store"}),(0,s.jsx)(t.td,{children:"Built HCD vector store instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"Search Results"}),(0,s.jsx)(t.td,{children:"Results of similarity search as a list of Data objects"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"milvus",children:"Milvus"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a Milvus Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://milvus.io/docs",children:"Milvus documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-8",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-8",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"collection_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Name of the Milvus collection"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"collection_description"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Description of the Milvus collection"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"uri"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Connection URI for Milvus"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"password"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"Password for Milvus"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"username"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"Username for Milvus"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"batch_size"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of data to process in a single batch"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Query for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Embedding function to use"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return in search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_type"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Type of search to perform"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_score_threshold"}),(0,s.jsx)(t.td,{children:"Float"}),(0,s.jsx)(t.td,{children:"Minimum similarity score for search results"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_filter"}),(0,s.jsx)(t.td,{children:"Dict"}),(0,s.jsx)(t.td,{children:"Metadata filters for search query"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"setup_mode"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Configuration mode for setting up the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_dimensions"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of dimensions of the vectors"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"pre_delete_collection"}),(0,s.jsx)(t.td,{children:"Boolean"}),(0,s.jsx)(t.td,{children:"Whether to delete the collection before creating a new one"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-8",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsx)(t.tbody,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"Milvus"}),(0,s.jsx)(t.td,{children:"A Milvus vector store instance configured with the specified parameters."})]})})]}),"\n",(0,s.jsx)(t.h2,{id:"mongodb-atlas",children:"MongoDB Atlas"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a MongoDB Atlas Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://www.mongodb.com/docs/atlas/atlas-vector-search/tutorials/vector-search-quick-start/",children:"MongoDB Atlas documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-9",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-9",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"mongodb_atlas_cluster_uri"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"MongoDB Atlas Cluster URI"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"db_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Database name"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"collection_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Collection name"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"index_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Index name"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Query for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Embedding function to use"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return in search"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-9",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"MongoDBAtlasVectorSearch"}),(0,s.jsx)(t.td,{children:"MongoDB Atlas vector store instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"pgvector",children:"PGVector"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a PGVector Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://github.com/pgvector/pgvector",children:"PGVector documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-10",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-10",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"pg_server_url"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"PostgreSQL server connection string"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"collection_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Table name for the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Query for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Embedding function to use"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return in search"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-10",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"PGVector"}),(0,s.jsx)(t.td,{children:"PGVector vector store instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"pinecone",children:"Pinecone"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a Pinecone Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://docs.pinecone.io/home",children:"Pinecone documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-11",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-11",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"index_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Name of the Pinecone index"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"namespace"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Namespace for the index"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"distance_strategy"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Strategy for calculating distance between vectors"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"pinecone_api_key"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"API key for Pinecone"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"text_key"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Key in the record to use as text"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Query for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Embedding function to use"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return in search"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-11",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"Pinecone"}),(0,s.jsx)(t.td,{children:"Pinecone vector store instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"qdrant",children:"Qdrant"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a Qdrant Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://qdrant.tech/documentation/",children:"Qdrant documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-12",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-12",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"collection_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Name of the Qdrant collection"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"host"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Qdrant server host"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"port"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Qdrant server port"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"grpc_port"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Qdrant gRPC port"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"api_key"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"API key for Qdrant"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"prefix"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Prefix for Qdrant"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"timeout"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Timeout for Qdrant operations"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"path"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Path for Qdrant"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"url"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"URL for Qdrant"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"distance_func"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Distance function for vector similarity"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"content_payload_key"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Key for content payload"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"metadata_payload_key"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Key for metadata payload"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Query for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Embedding function to use"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return in search"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-12",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"Qdrant"}),(0,s.jsx)(t.td,{children:"Qdrant vector store instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"redis",children:"Redis"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a Redis Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://redis.io/docs/latest/develop/interact/search-and-query/advanced-concepts/vectors/",children:"Redis documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-13",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-13",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"redis_server_url"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"Redis server connection string"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"redis_index_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Name of the Redis index"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"code"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Custom code for Redis (advanced)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"schema"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Schema for Redis index"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Query for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return in search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Embedding function to use"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-13",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"Redis"}),(0,s.jsx)(t.td,{children:"Redis vector store instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"supabase",children:"Supabase"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a connection to a Supabase Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://supabase.com/docs/guides/ai",children:"Supabase documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-14",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-14",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"supabase_url"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"URL of the Supabase instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"supabase_service_key"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"Service key for Supabase authentication"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"table_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Name of the table in Supabase"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"query_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Name of the query to use"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Query for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Embedding function to use"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return in search"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-14",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"SupabaseVectorStore"}),(0,s.jsx)(t.td,{children:"Supabase vector store instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"upstash",children:"Upstash"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates an Upstash Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://upstash.com/docs/introduction",children:"Upstash documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-15",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-15",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"index_url"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"The URL of the Upstash index"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"index_token"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"The token for the Upstash index"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"text_key"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"The key in the record to use as text"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"namespace"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Namespace for the index"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Query for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"metadata_filter"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Filters documents by metadata"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Embedding function to use (optional)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return in search"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-15",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"UpstashVectorStore"}),(0,s.jsx)(t.td,{children:"Upstash vector store instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"vectara",children:"Vectara"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a Vectara Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://docs.vectara.com/docs/",children:"Vectara documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-16",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-16",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vectara_customer_id"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Vectara customer ID"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vectara_corpus_id"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Vectara corpus ID"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vectara_api_key"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"Vectara API key"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Embedding function to use (optional)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"List[Document/Data]"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Query for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return in search"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-16",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"VectaraVectorStore"}),(0,s.jsx)(t.td,{children:"Vectara vector store instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"vectara-search",children:"Vectara Search"}),"\n",(0,s.jsxs)(t.p,{children:["This component searches a Vectara Vector Store for documents based on the provided input.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://docs.vectara.com/docs/",children:"Vectara documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-17",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-17",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_type"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:'Type of search, such as "Similarity" or "MMR"'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"input_value"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Search query"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vectara_customer_id"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Vectara customer ID"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vectara_corpus_id"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Vectara corpus ID"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vectara_api_key"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"Vectara API key"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"files_url"}),(0,s.jsx)(t.td,{children:"List[String]"}),(0,s.jsx)(t.td,{children:"Optional URLs for file initialization"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-17",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsx)(t.tbody,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})})]}),"\n",(0,s.jsx)(t.h2,{id:"weaviate",children:"Weaviate"}),"\n",(0,s.jsxs)(t.p,{children:["This component facilitates a Weaviate Vector Store setup, optimizing text and document indexing and retrieval.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://weaviate.io/developers/weaviate",children:"Weaviate Documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-18",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-18",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"weaviate_url"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Default instance URL"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_by_text"}),(0,s.jsx)(t.td,{children:"Boolean"}),(0,s.jsx)(t.td,{children:"Indicates whether to search by text"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"api_key"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"Optional API key for authentication"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"index_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Optional index name"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"text_key"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Default text extraction key"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"input"}),(0,s.jsx)(t.td,{children:"Document"}),(0,s.jsx)(t.td,{children:"Document or record"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Model used"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"attributes"}),(0,s.jsx)(t.td,{children:"List[String]"}),(0,s.jsx)(t.td,{children:"Optional additional attributes"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-18",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsx)(t.tbody,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"WeaviateVectorStore"}),(0,s.jsx)(t.td,{children:"Weaviate vector store instance"})]})})]}),"\n",(0,s.jsxs)(t.p,{children:[(0,s.jsx)(t.strong,{children:"Note:"})," Ensure Weaviate instance is running and accessible. Verify API key, index name, text key, and attributes are set correctly."]}),"\n",(0,s.jsx)(t.h2,{id:"weaviate-search",children:"Weaviate Search"}),"\n",(0,s.jsxs)(t.p,{children:["This component searches a Weaviate Vector Store for documents similar to the input.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://weaviate.io/developers/weaviate",children:"Weaviate Documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-19",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-19",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_type"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:'Type of search, such as "Similarity" or "MMR"'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"input_value"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Search query"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"weaviate_url"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Default instance URL"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_by_text"}),(0,s.jsx)(t.td,{children:"Boolean"}),(0,s.jsx)(t.td,{children:"Indicates whether to search by text"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"api_key"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"Optional API key for authentication"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"index_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Optional index name"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"text_key"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Default text extraction key"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Model used"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"attributes"}),(0,s.jsx)(t.td,{children:"List[String]"}),(0,s.jsx)(t.td,{children:"Optional additional attributes"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-19",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsx)(t.tbody,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})})]})]})}function o(e={}){const{wrapper:t}={...(0,d.R)(),...e.components};return t?(0,s.jsx)(t,{...e,children:(0,s.jsx)(a,{...e})}):a(e)}},8453:(e,t,r)=>{r.d(t,{R:()=>n,x:()=>c});var s=r(6540);const d={},i=s.createContext(d);function n(e){const t=s.useContext(i);return s.useMemo((function(){return"function"==typeof e?e(t):{...t,...e}}),[t,e])}function c(e){let t;return t=e.disableParentContext?"function"==typeof e.components?e.components(d):e.components||d:n(e.components),s.createElement(i.Provider,{value:t},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/f66238ae.f9c49358.js b/assets/js/f66238ae.f9c49358.js deleted file mode 100644 index 8f0895a162..0000000000 --- a/assets/js/f66238ae.f9c49358.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[5772],{9481:(e,t,r)=>{r.r(t),r.d(t,{assets:()=>l,contentTitle:()=>n,default:()=>o,frontMatter:()=>i,metadata:()=>c,toc:()=>h});var s=r(4848),d=r(8453);const i={title:"Vector Stores",sidebar_position:7,slug:"/components-vector-stores"},n="Vector Stores",c={id:"Components/components-vector-stores",title:"Vector Stores",description:"Vector databases are used to store and search for vectors. They can be used to store embeddings, search for similar vectors, and perform other vector operations.",source:"@site/docs/Components/components-vector-stores.md",sourceDirName:"Components",slug:"/components-vector-stores",permalink:"/components-vector-stores",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:7,frontMatter:{title:"Vector Stores",sidebar_position:7,slug:"/components-vector-stores"},sidebar:"defaultSidebar",previous:{title:"Embedding Models",permalink:"/components-embedding-models"},next:{title:"Custom Components",permalink:"/components-custom-components"}},l={},h=[{value:"Astra DB Vector Store",id:"astra-db-vector-store",level:2},{value:"Parameters",id:"parameters",level:3},{value:"Inputs",id:"inputs",level:4},{value:"Outputs",id:"outputs",level:4},{value:"Cassandra",id:"cassandra",level:2},{value:"Parameters",id:"parameters-1",level:3},{value:"Inputs",id:"inputs-1",level:4},{value:"Outputs",id:"outputs-1",level:4},{value:"Cassandra Graph Vector Store",id:"cassandra-graph-vector-store",level:2},{value:"Parameters",id:"parameters-2",level:3},{value:"Inputs",id:"inputs-2",level:4},{value:"Outputs",id:"outputs-2",level:4},{value:"Chroma DB",id:"chroma-db",level:2},{value:"Parameters",id:"parameters-3",level:3},{value:"Inputs",id:"inputs-3",level:4},{value:"Outputs",id:"outputs-3",level:4},{value:"Clickhouse",id:"clickhouse",level:2},{value:"Parameters",id:"parameters-4",level:3},{value:"Inputs",id:"inputs-4",level:4},{value:"Outputs",id:"outputs-4",level:4},{value:"Couchbase",id:"couchbase",level:2},{value:"Parameters",id:"parameters-5",level:3},{value:"Inputs",id:"inputs-5",level:4},{value:"Outputs",id:"outputs-5",level:4},{value:"FAISS",id:"faiss",level:2},{value:"Parameters",id:"parameters-6",level:3},{value:"Inputs",id:"inputs-6",level:4},{value:"Outputs",id:"outputs-6",level:4},{value:"Hyper-Converged Database (HCD) Vector Store",id:"hyper-converged-database-hcd-vector-store",level:2},{value:"Parameters",id:"parameters-7",level:3},{value:"Inputs",id:"inputs-7",level:4},{value:"Outputs",id:"outputs-7",level:4},{value:"Milvus",id:"milvus",level:2},{value:"Parameters",id:"parameters-8",level:3},{value:"Inputs",id:"inputs-8",level:4},{value:"Outputs",id:"outputs-8",level:4},{value:"MongoDB Atlas",id:"mongodb-atlas",level:2},{value:"Parameters",id:"parameters-9",level:3},{value:"Inputs",id:"inputs-9",level:4},{value:"Outputs",id:"outputs-9",level:4},{value:"PGVector",id:"pgvector",level:2},{value:"Parameters",id:"parameters-10",level:3},{value:"Inputs",id:"inputs-10",level:4},{value:"Outputs",id:"outputs-10",level:4},{value:"Pinecone",id:"pinecone",level:2},{value:"Parameters",id:"parameters-11",level:3},{value:"Inputs",id:"inputs-11",level:4},{value:"Outputs",id:"outputs-11",level:4},{value:"Qdrant",id:"qdrant",level:2},{value:"Parameters",id:"parameters-12",level:3},{value:"Inputs",id:"inputs-12",level:4},{value:"Outputs",id:"outputs-12",level:4},{value:"Redis",id:"redis",level:2},{value:"Parameters",id:"parameters-13",level:3},{value:"Inputs",id:"inputs-13",level:4},{value:"Outputs",id:"outputs-13",level:4},{value:"Supabase",id:"supabase",level:2},{value:"Parameters",id:"parameters-14",level:3},{value:"Inputs",id:"inputs-14",level:4},{value:"Outputs",id:"outputs-14",level:4},{value:"Upstash",id:"upstash",level:2},{value:"Parameters",id:"parameters-15",level:3},{value:"Inputs",id:"inputs-15",level:4},{value:"Outputs",id:"outputs-15",level:4},{value:"Vectara",id:"vectara",level:2},{value:"Parameters",id:"parameters-16",level:3},{value:"Inputs",id:"inputs-16",level:4},{value:"Outputs",id:"outputs-16",level:4},{value:"Vectara Search",id:"vectara-search",level:2},{value:"Parameters",id:"parameters-17",level:3},{value:"Inputs",id:"inputs-17",level:4},{value:"Outputs",id:"outputs-17",level:4},{value:"Weaviate",id:"weaviate",level:2},{value:"Parameters",id:"parameters-18",level:3},{value:"Inputs",id:"inputs-18",level:4},{value:"Outputs",id:"outputs-18",level:4},{value:"Weaviate Search",id:"weaviate-search",level:2},{value:"Parameters",id:"parameters-19",level:3},{value:"Inputs",id:"inputs-19",level:4},{value:"Outputs",id:"outputs-19",level:4}];function a(e){const t={a:"a",h1:"h1",h2:"h2",h3:"h3",h4:"h4",header:"header",p:"p",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",...(0,d.R)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(t.header,{children:(0,s.jsx)(t.h1,{id:"vector-stores",children:"Vector Stores"})}),"\n",(0,s.jsx)(t.p,{children:"Vector databases are used to store and search for vectors. They can be used to store embeddings, search for similar vectors, and perform other vector operations."}),"\n",(0,s.jsx)(t.h2,{id:"astra-db-vector-store",children:"Astra DB Vector Store"}),"\n",(0,s.jsx)(t.p,{children:"This component implements a Vector Store using Astra DB with search capabilities."}),"\n",(0,s.jsxs)(t.p,{children:["For more information, see the ",(0,s.jsx)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/create-database.html",children:"DataStax documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Display Name"}),(0,s.jsx)(t.th,{children:"Info"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"collection_name"}),(0,s.jsx)(t.td,{children:"Collection Name"}),(0,s.jsx)(t.td,{children:"The name of the collection within Astra DB where the vectors will be stored (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"token"}),(0,s.jsx)(t.td,{children:"Astra DB Application Token"}),(0,s.jsx)(t.td,{children:"Authentication token for accessing Astra DB (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"api_endpoint"}),(0,s.jsx)(t.td,{children:"API Endpoint"}),(0,s.jsx)(t.td,{children:"API endpoint URL for the Astra DB service (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_input"}),(0,s.jsx)(t.td,{children:"Search Input"}),(0,s.jsx)(t.td,{children:"Query string for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Ingest Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"namespace"}),(0,s.jsx)(t.td,{children:"Namespace"}),(0,s.jsx)(t.td,{children:"Optional namespace within Astra DB to use for the collection"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding_service"}),(0,s.jsx)(t.td,{children:"Embedding Model or Astra Vectorize"}),(0,s.jsx)(t.td,{children:"Determines whether to use an Embedding Model or Astra Vectorize for the collection"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embedding Model"}),(0,s.jsx)(t.td,{children:"Allows an embedding model configuration (when using Embedding Model)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"provider"}),(0,s.jsx)(t.td,{children:"Vectorize Provider"}),(0,s.jsx)(t.td,{children:"Provider for Astra Vectorize (when using Astra Vectorize)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"metric"}),(0,s.jsx)(t.td,{children:"Metric"}),(0,s.jsx)(t.td,{children:"Optional distance metric for vector comparisons"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"batch_size"}),(0,s.jsx)(t.td,{children:"Batch Size"}),(0,s.jsx)(t.td,{children:"Optional number of data to process in a single batch"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"setup_mode"}),(0,s.jsx)(t.td,{children:"Setup Mode"}),(0,s.jsx)(t.td,{children:'Configuration mode for setting up the vector store (options: "Sync", "Async", "Off", default: "Sync")'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"pre_delete_collection"}),(0,s.jsx)(t.td,{children:"Pre Delete Collection"}),(0,s.jsx)(t.td,{children:"Boolean flag to determine whether to delete the collection before creating a new one"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Number of Results"}),(0,s.jsx)(t.td,{children:"Number of results to return in similarity search (default: 4)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_type"}),(0,s.jsx)(t.td,{children:"Search Type"}),(0,s.jsx)(t.td,{children:'Search type to use (options: "Similarity", "Similarity with score threshold", "MMR (Max Marginal Relevance)")'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_score_threshold"}),(0,s.jsx)(t.td,{children:"Search Score Threshold"}),(0,s.jsx)(t.td,{children:"Minimum similarity score threshold for search results"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_filter"}),(0,s.jsx)(t.td,{children:"Search Metadata Filter"}),(0,s.jsx)(t.td,{children:"Optional dictionary of filters to apply to the search query"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Display Name"}),(0,s.jsx)(t.th,{children:"Info"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"Vector Store"}),(0,s.jsx)(t.td,{children:"Built Astra DB vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"Search Results"}),(0,s.jsx)(t.td,{children:"Results of the similarity search as a list of Data objects"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"cassandra",children:"Cassandra"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a Cassandra Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://cassandra.apache.org/doc/latest/cassandra/vector-search/overview.html",children:"Cassandra documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-1",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-1",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"database_ref"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Contact points for the database or AstraDB database ID"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"username"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Username for the database (leave empty for AstraDB)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"token"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"User password for the database or AstraDB token"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"keyspace"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Table Keyspace or AstraDB namespace"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"table_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Name of the table or AstraDB collection"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ttl_seconds"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Time-to-live for added texts"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"batch_size"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of data to process in a single batch"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"setup_mode"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Configuration mode for setting up the Cassandra table"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"cluster_kwargs"}),(0,s.jsx)(t.td,{children:"Dict"}),(0,s.jsx)(t.td,{children:"Additional keyword arguments for the Cassandra cluster"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Query for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Embedding function to use"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return in search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_type"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Type of search to perform"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_score_threshold"}),(0,s.jsx)(t.td,{children:"Float"}),(0,s.jsx)(t.td,{children:"Minimum similarity score for search results"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_filter"}),(0,s.jsx)(t.td,{children:"Dict"}),(0,s.jsx)(t.td,{children:"Metadata filters for search query"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"body_search"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Document textual search terms"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"enable_body_search"}),(0,s.jsx)(t.td,{children:"Boolean"}),(0,s.jsx)(t.td,{children:"Flag to enable body search"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-1",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"Cassandra"}),(0,s.jsx)(t.td,{children:"Cassandra vector store instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"cassandra-graph-vector-store",children:"Cassandra Graph Vector Store"}),"\n",(0,s.jsx)(t.p,{children:"This component implements a Cassandra Graph Vector Store with search capabilities."}),"\n",(0,s.jsx)(t.h3,{id:"parameters-2",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-2",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Display Name"}),(0,s.jsx)(t.th,{children:"Info"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"database_ref"}),(0,s.jsx)(t.td,{children:"Contact Points / Astra Database ID"}),(0,s.jsx)(t.td,{children:"Contact points for the database or AstraDB database ID (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"username"}),(0,s.jsx)(t.td,{children:"Username"}),(0,s.jsx)(t.td,{children:"Username for the database (leave empty for AstraDB)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"token"}),(0,s.jsx)(t.td,{children:"Password / AstraDB Token"}),(0,s.jsx)(t.td,{children:"User password for the database or AstraDB token (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"keyspace"}),(0,s.jsx)(t.td,{children:"Keyspace"}),(0,s.jsx)(t.td,{children:"Table Keyspace or AstraDB namespace (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"table_name"}),(0,s.jsx)(t.td,{children:"Table Name"}),(0,s.jsx)(t.td,{children:"The name of the table or AstraDB collection where vectors will be stored (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"setup_mode"}),(0,s.jsx)(t.td,{children:"Setup Mode"}),(0,s.jsx)(t.td,{children:'Configuration mode for setting up the Cassandra table (options: "Sync", "Off", default: "Sync")'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"cluster_kwargs"}),(0,s.jsx)(t.td,{children:"Cluster arguments"}),(0,s.jsx)(t.td,{children:"Optional dictionary of additional keyword arguments for the Cassandra cluster"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"Search Query"}),(0,s.jsx)(t.td,{children:"Query string for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Ingest Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store (list of Data objects)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embedding"}),(0,s.jsx)(t.td,{children:"Embedding model to use"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Number of Results"}),(0,s.jsx)(t.td,{children:"Number of results to return in similarity search (default: 4)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_type"}),(0,s.jsx)(t.td,{children:"Search Type"}),(0,s.jsx)(t.td,{children:'Search type to use (options: "Traversal", "MMR traversal", "Similarity", "Similarity with score threshold", "MMR (Max Marginal Relevance)", default: "Traversal")'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"depth"}),(0,s.jsx)(t.td,{children:"Depth of traversal"}),(0,s.jsx)(t.td,{children:'The maximum depth of edges to traverse (for "Traversal" or "MMR traversal" search types, default: 1)'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_score_threshold"}),(0,s.jsx)(t.td,{children:"Search Score Threshold"}),(0,s.jsx)(t.td,{children:'Minimum similarity score threshold for search results (for "Similarity with score threshold" search type)'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_filter"}),(0,s.jsx)(t.td,{children:"Search Metadata Filter"}),(0,s.jsx)(t.td,{children:"Optional dictionary of filters to apply to the search query"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-2",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Display Name"}),(0,s.jsx)(t.th,{children:"Info"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"Vector Store"}),(0,s.jsx)(t.td,{children:"Built Cassandra Graph vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"Search Results"}),(0,s.jsx)(t.td,{children:"Results of the similarity search as a list of Data objects"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"chroma-db",children:"Chroma DB"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a Chroma Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://docs.trychroma.com/",children:"Chroma documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-3",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-3",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"collection_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:'The name of the Chroma collection. Default: "langflow".'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"persist_directory"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"The directory to persist the Chroma database."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"The query to search for in the vector store."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"The data to ingest into the vector store (list of Data objects)."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"The embedding function to use for the vector store."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"chroma_server_cors_allow_origins"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"CORS allow origins for the Chroma server."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"chroma_server_host"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Host for the Chroma server."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"chroma_server_http_port"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"HTTP port for the Chroma server."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"chroma_server_grpc_port"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"gRPC port for the Chroma server."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"chroma_server_ssl_enabled"}),(0,s.jsx)(t.td,{children:"Boolean"}),(0,s.jsx)(t.td,{children:"Enable SSL for the Chroma server."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"allow_duplicates"}),(0,s.jsx)(t.td,{children:"Boolean"}),(0,s.jsx)(t.td,{children:"Allow duplicate documents in the vector store."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_type"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:'Type of search to perform: "Similarity" or "MMR".'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return from the search. Default: 10."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"limit"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Limit the number of records to compare when Allow Duplicates is False."})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-3",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"Chroma"}),(0,s.jsx)(t.td,{children:"Chroma vector store instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"clickhouse",children:"Clickhouse"}),"\n",(0,s.jsxs)(t.p,{children:["This component implements a Clickhouse Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://clickhouse.com/docs/en/intro",children:"CLickhouse Documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-4",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-4",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Display Name"}),(0,s.jsx)(t.th,{children:"Info"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"host"}),(0,s.jsx)(t.td,{children:"hostname"}),(0,s.jsx)(t.td,{children:'Clickhouse server hostname (required, default: "localhost")'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"port"}),(0,s.jsx)(t.td,{children:"port"}),(0,s.jsx)(t.td,{children:"Clickhouse server port (required, default: 8123)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"database"}),(0,s.jsx)(t.td,{children:"database"}),(0,s.jsx)(t.td,{children:"Clickhouse database name (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"table"}),(0,s.jsx)(t.td,{children:"Table name"}),(0,s.jsx)(t.td,{children:"Clickhouse table name (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"username"}),(0,s.jsx)(t.td,{children:"The ClickHouse user name."}),(0,s.jsx)(t.td,{children:"Username for authentication (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"password"}),(0,s.jsx)(t.td,{children:"The password for username."}),(0,s.jsx)(t.td,{children:"Password for authentication (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"index_type"}),(0,s.jsx)(t.td,{children:"index_type"}),(0,s.jsx)(t.td,{children:'Type of the index (options: "annoy", "vector_similarity", default: "annoy")'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"metric"}),(0,s.jsx)(t.td,{children:"metric"}),(0,s.jsx)(t.td,{children:'Metric to compute distance (options: "angular", "euclidean", "manhattan", "hamming", "dot", default: "angular")'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"secure"}),(0,s.jsx)(t.td,{children:"Use https/TLS"}),(0,s.jsx)(t.td,{children:"Overrides inferred values from the interface or port arguments (default: false)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"index_param"}),(0,s.jsx)(t.td,{children:"Param of the index"}),(0,s.jsx)(t.td,{children:"Index parameters (default: \"'L2Distance',100\")"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"index_query_params"}),(0,s.jsx)(t.td,{children:"index query params"}),(0,s.jsx)(t.td,{children:"Additional index query parameters"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"Search Query"}),(0,s.jsx)(t.td,{children:"Query string for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Ingest Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embedding"}),(0,s.jsx)(t.td,{children:"Embedding model to use"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Number of Results"}),(0,s.jsx)(t.td,{children:"Number of results to return in similarity search (default: 4)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"score_threshold"}),(0,s.jsx)(t.td,{children:"Score threshold"}),(0,s.jsx)(t.td,{children:"Threshold for similarity scores"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-4",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Display Name"}),(0,s.jsx)(t.th,{children:"Info"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"Vector Store"}),(0,s.jsx)(t.td,{children:"Built Clickhouse vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"Search Results"}),(0,s.jsx)(t.td,{children:"Results of the similarity search as a list of Data objects"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"couchbase",children:"Couchbase"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a Couchbase Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://docs.couchbase.com/home/index.html",children:"Couchbase documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-5",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-5",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"couchbase_connection_string"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"Couchbase Cluster connection string (required)."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"couchbase_username"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Couchbase username (required)."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"couchbase_password"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"Couchbase password (required)."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"bucket_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Name of the Couchbase bucket (required)."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"scope_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Name of the Couchbase scope (required)."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"collection_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Name of the Couchbase collection (required)."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"index_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Name of the Couchbase index (required)."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"The query to search for in the vector store."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"The data to ingest into the vector store (list of Data objects)."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"The embedding function to use for the vector store."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return from the search. Default: 4 (advanced)."})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-5",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsx)(t.tbody,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"CouchbaseVectorStore"}),(0,s.jsx)(t.td,{children:"A Couchbase vector store instance configured with the specified parameters."})]})})]}),"\n",(0,s.jsx)(t.h2,{id:"faiss",children:"FAISS"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a FAISS Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://faiss.ai/index.html",children:"FAISS documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-6",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-6",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"index_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:'The name of the FAISS index. Default: "langflow_index".'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"persist_directory"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Path to save the FAISS index. It will be relative to where Langflow is running."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"The query to search for in the vector store."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"The data to ingest into the vector store (list of Data objects or documents)."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"allow_dangerous_deserialization"}),(0,s.jsx)(t.td,{children:"Boolean"}),(0,s.jsx)(t.td,{children:"Set to True to allow loading pickle files from untrusted sources. Default: True (advanced)."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"The embedding function to use for the vector store."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return from the search. Default: 4 (advanced)."})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-6",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsx)(t.tbody,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"FAISS"}),(0,s.jsx)(t.td,{children:"A FAISS vector store instance configured with the specified parameters."})]})})]}),"\n",(0,s.jsx)(t.h2,{id:"hyper-converged-database-hcd-vector-store",children:"Hyper-Converged Database (HCD) Vector Store"}),"\n",(0,s.jsx)(t.p,{children:"This component implements a Vector Store using HCD."}),"\n",(0,s.jsx)(t.h3,{id:"parameters-7",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-7",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Display Name"}),(0,s.jsx)(t.th,{children:"Info"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"collection_name"}),(0,s.jsx)(t.td,{children:"Collection Name"}),(0,s.jsx)(t.td,{children:"The name of the collection within HCD where the vectors will be stored (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"username"}),(0,s.jsx)(t.td,{children:"HCD Username"}),(0,s.jsx)(t.td,{children:'Authentication username for accessing HCD (default: "hcd-superuser", required)'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"password"}),(0,s.jsx)(t.td,{children:"HCD Password"}),(0,s.jsx)(t.td,{children:"Authentication password for accessing HCD (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"api_endpoint"}),(0,s.jsx)(t.td,{children:"HCD API Endpoint"}),(0,s.jsx)(t.td,{children:"API endpoint URL for the HCD service (required)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_input"}),(0,s.jsx)(t.td,{children:"Search Input"}),(0,s.jsx)(t.td,{children:"Query string for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Ingest Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"namespace"}),(0,s.jsx)(t.td,{children:"Namespace"}),(0,s.jsx)(t.td,{children:'Optional namespace within HCD to use for the collection (default: "default_namespace")'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ca_certificate"}),(0,s.jsx)(t.td,{children:"CA Certificate"}),(0,s.jsx)(t.td,{children:"Optional CA certificate for TLS connections to HCD"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"metric"}),(0,s.jsx)(t.td,{children:"Metric"}),(0,s.jsx)(t.td,{children:'Optional distance metric for vector comparisons (options: "cosine", "dot_product", "euclidean")'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"batch_size"}),(0,s.jsx)(t.td,{children:"Batch Size"}),(0,s.jsx)(t.td,{children:"Optional number of data to process in a single batch"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"bulk_insert_batch_concurrency"}),(0,s.jsx)(t.td,{children:"Bulk Insert Batch Concurrency"}),(0,s.jsx)(t.td,{children:"Optional concurrency level for bulk insert operations"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"bulk_insert_overwrite_concurrency"}),(0,s.jsx)(t.td,{children:"Bulk Insert Overwrite Concurrency"}),(0,s.jsx)(t.td,{children:"Optional concurrency level for bulk insert operations that overwrite existing data"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"bulk_delete_concurrency"}),(0,s.jsx)(t.td,{children:"Bulk Delete Concurrency"}),(0,s.jsx)(t.td,{children:"Optional concurrency level for bulk delete operations"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"setup_mode"}),(0,s.jsx)(t.td,{children:"Setup Mode"}),(0,s.jsx)(t.td,{children:'Configuration mode for setting up the vector store (options: "Sync", "Async", "Off", default: "Sync")'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"pre_delete_collection"}),(0,s.jsx)(t.td,{children:"Pre Delete Collection"}),(0,s.jsx)(t.td,{children:"Boolean flag to determine whether to delete the collection before creating a new one"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"metadata_indexing_include"}),(0,s.jsx)(t.td,{children:"Metadata Indexing Include"}),(0,s.jsx)(t.td,{children:"Optional list of metadata fields to include in the indexing"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embedding or Astra Vectorize"}),(0,s.jsx)(t.td,{children:"Allows either an embedding model or an Astra Vectorize configuration"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"metadata_indexing_exclude"}),(0,s.jsx)(t.td,{children:"Metadata Indexing Exclude"}),(0,s.jsx)(t.td,{children:"Optional list of metadata fields to exclude from the indexing"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"collection_indexing_policy"}),(0,s.jsx)(t.td,{children:"Collection Indexing Policy"}),(0,s.jsx)(t.td,{children:"Optional dictionary defining the indexing policy for the collection"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Number of Results"}),(0,s.jsx)(t.td,{children:"Number of results to return in similarity search (default: 4)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_type"}),(0,s.jsx)(t.td,{children:"Search Type"}),(0,s.jsx)(t.td,{children:'Search type to use (options: "Similarity", "Similarity with score threshold", "MMR (Max Marginal Relevance)", default: "Similarity")'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_score_threshold"}),(0,s.jsx)(t.td,{children:"Search Score Threshold"}),(0,s.jsx)(t.td,{children:"Minimum similarity score threshold for search results (default: 0)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_filter"}),(0,s.jsx)(t.td,{children:"Search Metadata Filter"}),(0,s.jsx)(t.td,{children:"Optional dictionary of filters to apply to the search query"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-7",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Display Name"}),(0,s.jsx)(t.th,{children:"Info"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"Vector Store"}),(0,s.jsx)(t.td,{children:"Built HCD vector store instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"Search Results"}),(0,s.jsx)(t.td,{children:"Results of similarity search as a list of Data objects"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"milvus",children:"Milvus"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a Milvus Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://milvus.io/docs",children:"Milvus documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-8",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-8",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"collection_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Name of the Milvus collection"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"collection_description"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Description of the Milvus collection"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"uri"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Connection URI for Milvus"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"password"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"Password for Milvus"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"username"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"Username for Milvus"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"batch_size"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of data to process in a single batch"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Query for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Embedding function to use"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return in search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_type"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Type of search to perform"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_score_threshold"}),(0,s.jsx)(t.td,{children:"Float"}),(0,s.jsx)(t.td,{children:"Minimum similarity score for search results"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_filter"}),(0,s.jsx)(t.td,{children:"Dict"}),(0,s.jsx)(t.td,{children:"Metadata filters for search query"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"setup_mode"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Configuration mode for setting up the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_dimensions"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of dimensions of the vectors"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"pre_delete_collection"}),(0,s.jsx)(t.td,{children:"Boolean"}),(0,s.jsx)(t.td,{children:"Whether to delete the collection before creating a new one"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-8",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsx)(t.tbody,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"Milvus"}),(0,s.jsx)(t.td,{children:"A Milvus vector store instance configured with the specified parameters."})]})})]}),"\n",(0,s.jsx)(t.h2,{id:"mongodb-atlas",children:"MongoDB Atlas"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a MongoDB Atlas Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://www.mongodb.com/docs/atlas/atlas-vector-search/tutorials/vector-search-quick-start/",children:"MongoDB Atlas documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-9",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-9",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"mongodb_atlas_cluster_uri"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"MongoDB Atlas Cluster URI"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"db_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Database name"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"collection_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Collection name"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"index_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Index name"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Query for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Embedding function to use"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return in search"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-9",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"MongoDBAtlasVectorSearch"}),(0,s.jsx)(t.td,{children:"MongoDB Atlas vector store instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"pgvector",children:"PGVector"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a PGVector Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://github.com/pgvector/pgvector",children:"PGVector documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-10",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-10",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"pg_server_url"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"PostgreSQL server connection string"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"collection_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Table name for the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Query for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Embedding function to use"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return in search"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-10",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"PGVector"}),(0,s.jsx)(t.td,{children:"PGVector vector store instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"pinecone",children:"Pinecone"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a Pinecone Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://docs.pinecone.io/home",children:"Pinecone documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-11",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-11",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"index_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Name of the Pinecone index"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"namespace"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Namespace for the index"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"distance_strategy"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Strategy for calculating distance between vectors"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"pinecone_api_key"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"API key for Pinecone"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"text_key"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Key in the record to use as text"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Query for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Embedding function to use"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return in search"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-11",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"Pinecone"}),(0,s.jsx)(t.td,{children:"Pinecone vector store instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"qdrant",children:"Qdrant"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a Qdrant Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://qdrant.tech/documentation/",children:"Qdrant documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-12",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-12",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"collection_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Name of the Qdrant collection"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"host"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Qdrant server host"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"port"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Qdrant server port"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"grpc_port"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Qdrant gRPC port"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"api_key"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"API key for Qdrant"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"prefix"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Prefix for Qdrant"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"timeout"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Timeout for Qdrant operations"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"path"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Path for Qdrant"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"url"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"URL for Qdrant"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"distance_func"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Distance function for vector similarity"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"content_payload_key"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Key for content payload"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"metadata_payload_key"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Key for metadata payload"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Query for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Embedding function to use"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return in search"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-12",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"Qdrant"}),(0,s.jsx)(t.td,{children:"Qdrant vector store instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"redis",children:"Redis"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a Redis Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://redis.io/docs/latest/develop/interact/search-and-query/advanced-concepts/vectors/",children:"Redis documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-13",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-13",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"redis_server_url"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"Redis server connection string"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"redis_index_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Name of the Redis index"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"code"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Custom code for Redis (advanced)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"schema"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Schema for Redis index"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Query for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return in search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Embedding function to use"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-13",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"Redis"}),(0,s.jsx)(t.td,{children:"Redis vector store instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"supabase",children:"Supabase"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a connection to a Supabase Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://supabase.com/docs/guides/ai",children:"Supabase documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-14",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-14",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"supabase_url"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"URL of the Supabase instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"supabase_service_key"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"Service key for Supabase authentication"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"table_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Name of the table in Supabase"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"query_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Name of the query to use"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Query for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Embedding function to use"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return in search"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-14",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"SupabaseVectorStore"}),(0,s.jsx)(t.td,{children:"Supabase vector store instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"upstash",children:"Upstash"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates an Upstash Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://upstash.com/docs/introduction",children:"Upstash documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-15",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-15",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"index_url"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"The URL of the Upstash index"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"index_token"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"The token for the Upstash index"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"text_key"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"The key in the record to use as text"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"namespace"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Namespace for the index"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Query for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"metadata_filter"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Filters documents by metadata"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"Data"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Embedding function to use (optional)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return in search"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-15",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"UpstashVectorStore"}),(0,s.jsx)(t.td,{children:"Upstash vector store instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"vectara",children:"Vectara"}),"\n",(0,s.jsxs)(t.p,{children:["This component creates a Vectara Vector Store with search capabilities.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://docs.vectara.com/docs/",children:"Vectara documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-16",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-16",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vectara_customer_id"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Vectara customer ID"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vectara_corpus_id"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Vectara corpus ID"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vectara_api_key"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"Vectara API key"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Embedding function to use (optional)"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"ingest_data"}),(0,s.jsx)(t.td,{children:"List[Document/Data]"}),(0,s.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_query"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Query for similarity search"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"number_of_results"}),(0,s.jsx)(t.td,{children:"Integer"}),(0,s.jsx)(t.td,{children:"Number of results to return in search"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-16",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"VectaraVectorStore"}),(0,s.jsx)(t.td,{children:"Vectara vector store instance"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})]})]}),"\n",(0,s.jsx)(t.h2,{id:"vectara-search",children:"Vectara Search"}),"\n",(0,s.jsxs)(t.p,{children:["This component searches a Vectara Vector Store for documents based on the provided input.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://docs.vectara.com/docs/",children:"Vectara documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-17",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-17",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_type"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:'Type of search, such as "Similarity" or "MMR"'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"input_value"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Search query"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vectara_customer_id"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Vectara customer ID"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vectara_corpus_id"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Vectara corpus ID"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vectara_api_key"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"Vectara API key"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"files_url"}),(0,s.jsx)(t.td,{children:"List[String]"}),(0,s.jsx)(t.td,{children:"Optional URLs for file initialization"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-17",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsx)(t.tbody,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})})]}),"\n",(0,s.jsx)(t.h2,{id:"weaviate",children:"Weaviate"}),"\n",(0,s.jsxs)(t.p,{children:["This component facilitates a Weaviate Vector Store setup, optimizing text and document indexing and retrieval.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://weaviate.io/developers/weaviate",children:"Weaviate Documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-18",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-18",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"weaviate_url"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Default instance URL"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_by_text"}),(0,s.jsx)(t.td,{children:"Boolean"}),(0,s.jsx)(t.td,{children:"Indicates whether to search by text"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"api_key"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"Optional API key for authentication"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"index_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Optional index name"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"text_key"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Default text extraction key"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"input"}),(0,s.jsx)(t.td,{children:"Document"}),(0,s.jsx)(t.td,{children:"Document or record"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Model used"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"attributes"}),(0,s.jsx)(t.td,{children:"List[String]"}),(0,s.jsx)(t.td,{children:"Optional additional attributes"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-18",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsx)(t.tbody,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"vector_store"}),(0,s.jsx)(t.td,{children:"WeaviateVectorStore"}),(0,s.jsx)(t.td,{children:"Weaviate vector store instance"})]})})]}),"\n",(0,s.jsxs)(t.p,{children:[(0,s.jsx)(t.strong,{children:"Note:"})," Ensure Weaviate instance is running and accessible. Verify API key, index name, text key, and attributes are set correctly."]}),"\n",(0,s.jsx)(t.h2,{id:"weaviate-search",children:"Weaviate Search"}),"\n",(0,s.jsxs)(t.p,{children:["This component searches a Weaviate Vector Store for documents similar to the input.\nFor more information, see the ",(0,s.jsx)(t.a,{href:"https://weaviate.io/developers/weaviate",children:"Weaviate Documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"parameters-19",children:"Parameters"}),"\n",(0,s.jsx)(t.h4,{id:"inputs-19",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_type"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:'Type of search, such as "Similarity" or "MMR"'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"input_value"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Search query"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"weaviate_url"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Default instance URL"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_by_text"}),(0,s.jsx)(t.td,{children:"Boolean"}),(0,s.jsx)(t.td,{children:"Indicates whether to search by text"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"api_key"}),(0,s.jsx)(t.td,{children:"SecretString"}),(0,s.jsx)(t.td,{children:"Optional API key for authentication"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"index_name"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Optional index name"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"text_key"}),(0,s.jsx)(t.td,{children:"String"}),(0,s.jsx)(t.td,{children:"Default text extraction key"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"embedding"}),(0,s.jsx)(t.td,{children:"Embeddings"}),(0,s.jsx)(t.td,{children:"Model used"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"attributes"}),(0,s.jsx)(t.td,{children:"List[String]"}),(0,s.jsx)(t.td,{children:"Optional additional attributes"})]})]})]}),"\n",(0,s.jsx)(t.h4,{id:"outputs-19",children:"Outputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Type"}),(0,s.jsx)(t.th,{children:"Description"})]})}),(0,s.jsx)(t.tbody,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"search_results"}),(0,s.jsx)(t.td,{children:"List[Data]"}),(0,s.jsx)(t.td,{children:"Results of similarity search"})]})})]})]})}function o(e={}){const{wrapper:t}={...(0,d.R)(),...e.components};return t?(0,s.jsx)(t,{...e,children:(0,s.jsx)(a,{...e})}):a(e)}},8453:(e,t,r)=>{r.d(t,{R:()=>n,x:()=>c});var s=r(6540);const d={},i=s.createContext(d);function n(e){const t=s.useContext(i);return s.useMemo((function(){return"function"==typeof e?e(t):{...t,...e}}),[t,e])}function c(e){let t;return t=e.disableParentContext?"function"==typeof e.components?e.components(d):e.components||d:n(e.components),s.createElement(i.Provider,{value:t},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/runtime~main.ff730e2f.js b/assets/js/runtime~main.0c27cfb9.js similarity index 99% rename from assets/js/runtime~main.ff730e2f.js rename to assets/js/runtime~main.0c27cfb9.js index 2ffb2ee71f..646ee97769 100644 --- a/assets/js/runtime~main.ff730e2f.js +++ b/assets/js/runtime~main.0c27cfb9.js @@ -1 +1 @@ -(()=>{"use strict";var e,a,f,c,d,t={},r={};function b(e){var a=r[e];if(void 0!==a)return a.exports;var f=r[e]={id:e,loaded:!1,exports:{}};return t[e].call(f.exports,f,f.exports,b),f.loaded=!0,f.exports}b.m=t,b.c=r,e=[],b.O=(a,f,c,d)=>{if(!f){var t=1/0;for(i=0;i=d)&&Object.keys(b.O).every((e=>b.O[e](f[o])))?f.splice(o--,1):(r=!1,d0&&e[i-1][2]>d;i--)e[i]=e[i-1];e[i]=[f,c,d]},b.n=e=>{var a=e&&e.__esModule?()=>e.default:()=>e;return b.d(a,{a:a}),a},f=Object.getPrototypeOf?e=>Object.getPrototypeOf(e):e=>e.__proto__,b.t=function(e,c){if(1&c&&(e=this(e)),8&c)return e;if("object"==typeof e&&e){if(4&c&&e.__esModule)return e;if(16&c&&"function"==typeof e.then)return e}var d=Object.create(null);b.r(d);var t={};a=a||[null,f({}),f([]),f(f)];for(var r=2&c&&e;"object"==typeof r&&!~a.indexOf(r);r=f(r))Object.getOwnPropertyNames(r).forEach((a=>t[a]=()=>e[a]));return t.default=()=>e,b.d(d,t),d},b.d=(e,a)=>{for(var f in a)b.o(a,f)&&!b.o(e,f)&&Object.defineProperty(e,f,{enumerable:!0,get:a[f]})},b.f={},b.e=e=>Promise.all(Object.keys(b.f).reduce(((a,f)=>(b.f[f](e,a),a)),[])),b.u=e=>"assets/js/"+({51:"b7251463",145:"0be1d5fe",784:"fe965b62",868:"dc7b1ef3",1039:"16d61ab3",1227:"647965d5",1246:"1b523369",1258:"7da17ff3",1394:"8054effa",1456:"ecd98ae0",1563:"3ef76b56",1567:"22dd74f7",1917:"c3616f7f",2431:"c0d3c6ab",2624:"8ff68e6f",2657:"a3ab51d1",2691:"2efb9d3a",3110:"6a2beaac",3327:"6aa941bb",3917:"c8dad5f1",3954:"f61c9ce2",3964:"829ff4d2",4028:"c2ebd62a",4046:"9ac856ad",4133:"5cf11f26",4417:"f659caff",4429:"32cedcea",4633:"c563aec0",4930:"d2ad385b",5475:"18f3809a",5562:"20e9af62",5572:"873ebc27",5628:"a83bc7c0",5634:"9822a706",5742:"aba21aa0",5772:"f66238ae",6008:"445668ec",6147:"ab17fe15",6900:"3f8193f3",7098:"a7bd4aaa",7118:"4ce9199e",7211:"cacdc615",7258:"11478de3",7338:"c39b795e",7408:"3ae94ad4",7453:"fdefa9a8",7462:"921b5fc1",7892:"790349b7",8031:"25bf2d67",8054:"85112c90",8261:"474d53cd",8356:"c6a5eaec",8401:"17896441",8598:"44dfcf75",8661:"8f774222",8927:"ae68aa8b",8929:"172b3cfb",8953:"adef6868",9048:"a94703ab",9126:"ea3c040a",9141:"19136925",9304:"c329cc2b",9306:"667d0790",9455:"54175a6c",9461:"23d0e682",9580:"f81a91eb",9642:"eae80ce0",9647:"5e95c892"}[e]||e)+"."+{51:"40acd925",145:"9f83f19e",784:"5cb31f30",868:"d7c01dec",900:"a0e575ae",1039:"8121a609",1227:"a5e9a52c",1246:"d8c929da",1258:"546f76fa",1394:"0f53b2c1",1456:"2f1edf50",1563:"eb9452ad",1567:"c25e6133",1917:"1799c84d",2237:"51dcacf5",2431:"ff60b3e9",2624:"549b0ffb",2657:"8355cb04",2691:"ee124360",3110:"a42b07a9",3327:"41e9723a",3917:"d6fef4ed",3954:"f438aea2",3964:"915a12fb",4028:"f8bce4ba",4046:"b93eaf1c",4133:"30c8c9a7",4417:"87229874",4429:"0a7099d8",4633:"5ff8fd28",4930:"1558292e",5475:"dfef96d2",5562:"e31ab0c8",5572:"900153bb",5628:"b540b4fe",5634:"92ba7913",5742:"7728a8b8",5772:"f9c49358",6008:"b310996f",6147:"481d3fae",6900:"ad0db0de",7098:"c1ae1626",7118:"687ca843",7211:"4ffb205b",7258:"a9a0ccb4",7338:"b520aa6a",7408:"7aea1959",7453:"e341009b",7462:"9216a547",7892:"3972bc33",8031:"9ecebac7",8054:"8d11cc7d",8261:"cb04f4b5",8356:"41d3780f",8401:"f87fbc20",8598:"5efd88f8",8661:"c561022e",8927:"9117ab52",8929:"029106ed",8953:"6ca523e2",9048:"6c0ab240",9126:"7e15d790",9141:"6473b46e",9304:"447646ac",9306:"5f9fab49",9455:"8c81b845",9461:"5e40108d",9580:"3c6ddcce",9642:"c17d82a2",9647:"803b6717"}[e]+".js",b.miniCssF=e=>{},b.g=function(){if("object"==typeof globalThis)return globalThis;try{return this||new Function("return this")()}catch(e){if("object"==typeof window)return window}}(),b.o=(e,a)=>Object.prototype.hasOwnProperty.call(e,a),c={},d="langflow-docs:",b.l=(e,a,f,t)=>{if(c[e])c[e].push(a);else{var r,o;if(void 0!==f)for(var n=document.getElementsByTagName("script"),i=0;i{r.onerror=r.onload=null,clearTimeout(s);var d=c[e];if(delete c[e],r.parentNode&&r.parentNode.removeChild(r),d&&d.forEach((e=>e(f))),a)return a(f)},s=setTimeout(u.bind(null,void 0,{type:"timeout",target:r}),12e4);r.onerror=u.bind(null,r.onerror),r.onload=u.bind(null,r.onload),o&&document.head.appendChild(r)}},b.r=e=>{"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(e,"__esModule",{value:!0})},b.p="/",b.gca=function(e){return e={17896441:"8401",19136925:"9141",b7251463:"51","0be1d5fe":"145",fe965b62:"784",dc7b1ef3:"868","16d61ab3":"1039","647965d5":"1227","1b523369":"1246","7da17ff3":"1258","8054effa":"1394",ecd98ae0:"1456","3ef76b56":"1563","22dd74f7":"1567",c3616f7f:"1917",c0d3c6ab:"2431","8ff68e6f":"2624",a3ab51d1:"2657","2efb9d3a":"2691","6a2beaac":"3110","6aa941bb":"3327",c8dad5f1:"3917",f61c9ce2:"3954","829ff4d2":"3964",c2ebd62a:"4028","9ac856ad":"4046","5cf11f26":"4133",f659caff:"4417","32cedcea":"4429",c563aec0:"4633",d2ad385b:"4930","18f3809a":"5475","20e9af62":"5562","873ebc27":"5572",a83bc7c0:"5628","9822a706":"5634",aba21aa0:"5742",f66238ae:"5772","445668ec":"6008",ab17fe15:"6147","3f8193f3":"6900",a7bd4aaa:"7098","4ce9199e":"7118",cacdc615:"7211","11478de3":"7258",c39b795e:"7338","3ae94ad4":"7408",fdefa9a8:"7453","921b5fc1":"7462","790349b7":"7892","25bf2d67":"8031","85112c90":"8054","474d53cd":"8261",c6a5eaec:"8356","44dfcf75":"8598","8f774222":"8661",ae68aa8b:"8927","172b3cfb":"8929",adef6868:"8953",a94703ab:"9048",ea3c040a:"9126",c329cc2b:"9304","667d0790":"9306","54175a6c":"9455","23d0e682":"9461",f81a91eb:"9580",eae80ce0:"9642","5e95c892":"9647"}[e]||e,b.p+b.u(e)},(()=>{var e={5354:0,1869:0};b.f.j=(a,f)=>{var c=b.o(e,a)?e[a]:void 0;if(0!==c)if(c)f.push(c[2]);else if(/^(1869|5354)$/.test(a))e[a]=0;else{var d=new Promise(((f,d)=>c=e[a]=[f,d]));f.push(c[2]=d);var t=b.p+b.u(a),r=new Error;b.l(t,(f=>{if(b.o(e,a)&&(0!==(c=e[a])&&(e[a]=void 0),c)){var d=f&&("load"===f.type?"missing":f.type),t=f&&f.target&&f.target.src;r.message="Loading chunk "+a+" failed.\n("+d+": "+t+")",r.name="ChunkLoadError",r.type=d,r.request=t,c[1](r)}}),"chunk-"+a,a)}},b.O.j=a=>0===e[a];var a=(a,f)=>{var c,d,t=f[0],r=f[1],o=f[2],n=0;if(t.some((a=>0!==e[a]))){for(c in r)b.o(r,c)&&(b.m[c]=r[c]);if(o)var i=o(b)}for(a&&a(f);n{"use strict";var e,a,f,c,d,t={},r={};function b(e){var a=r[e];if(void 0!==a)return a.exports;var f=r[e]={id:e,loaded:!1,exports:{}};return t[e].call(f.exports,f,f.exports,b),f.loaded=!0,f.exports}b.m=t,b.c=r,e=[],b.O=(a,f,c,d)=>{if(!f){var t=1/0;for(i=0;i=d)&&Object.keys(b.O).every((e=>b.O[e](f[o])))?f.splice(o--,1):(r=!1,d0&&e[i-1][2]>d;i--)e[i]=e[i-1];e[i]=[f,c,d]},b.n=e=>{var a=e&&e.__esModule?()=>e.default:()=>e;return b.d(a,{a:a}),a},f=Object.getPrototypeOf?e=>Object.getPrototypeOf(e):e=>e.__proto__,b.t=function(e,c){if(1&c&&(e=this(e)),8&c)return e;if("object"==typeof e&&e){if(4&c&&e.__esModule)return e;if(16&c&&"function"==typeof e.then)return e}var d=Object.create(null);b.r(d);var t={};a=a||[null,f({}),f([]),f(f)];for(var r=2&c&&e;"object"==typeof r&&!~a.indexOf(r);r=f(r))Object.getOwnPropertyNames(r).forEach((a=>t[a]=()=>e[a]));return t.default=()=>e,b.d(d,t),d},b.d=(e,a)=>{for(var f in a)b.o(a,f)&&!b.o(e,f)&&Object.defineProperty(e,f,{enumerable:!0,get:a[f]})},b.f={},b.e=e=>Promise.all(Object.keys(b.f).reduce(((a,f)=>(b.f[f](e,a),a)),[])),b.u=e=>"assets/js/"+({51:"b7251463",145:"0be1d5fe",784:"fe965b62",868:"dc7b1ef3",1039:"16d61ab3",1227:"647965d5",1246:"1b523369",1258:"7da17ff3",1394:"8054effa",1456:"ecd98ae0",1563:"3ef76b56",1567:"22dd74f7",1917:"c3616f7f",2431:"c0d3c6ab",2624:"8ff68e6f",2657:"a3ab51d1",2691:"2efb9d3a",3110:"6a2beaac",3327:"6aa941bb",3917:"c8dad5f1",3954:"f61c9ce2",3964:"829ff4d2",4028:"c2ebd62a",4046:"9ac856ad",4133:"5cf11f26",4417:"f659caff",4429:"32cedcea",4633:"c563aec0",4930:"d2ad385b",5475:"18f3809a",5562:"20e9af62",5572:"873ebc27",5628:"a83bc7c0",5634:"9822a706",5742:"aba21aa0",5772:"f66238ae",6008:"445668ec",6147:"ab17fe15",6900:"3f8193f3",7098:"a7bd4aaa",7118:"4ce9199e",7211:"cacdc615",7258:"11478de3",7338:"c39b795e",7408:"3ae94ad4",7453:"fdefa9a8",7462:"921b5fc1",7892:"790349b7",8031:"25bf2d67",8054:"85112c90",8261:"474d53cd",8356:"c6a5eaec",8401:"17896441",8598:"44dfcf75",8661:"8f774222",8927:"ae68aa8b",8929:"172b3cfb",8953:"adef6868",9048:"a94703ab",9126:"ea3c040a",9141:"19136925",9304:"c329cc2b",9306:"667d0790",9455:"54175a6c",9461:"23d0e682",9580:"f81a91eb",9642:"eae80ce0",9647:"5e95c892"}[e]||e)+"."+{51:"40acd925",145:"9f83f19e",784:"5cb31f30",868:"d7c01dec",900:"a0e575ae",1039:"8121a609",1227:"a5e9a52c",1246:"d8c929da",1258:"546f76fa",1394:"0f53b2c1",1456:"2f1edf50",1563:"eb9452ad",1567:"c25e6133",1917:"1799c84d",2237:"51dcacf5",2431:"ff60b3e9",2624:"549b0ffb",2657:"8355cb04",2691:"ee124360",3110:"a42b07a9",3327:"41e9723a",3917:"d6fef4ed",3954:"f438aea2",3964:"915a12fb",4028:"f8bce4ba",4046:"b93eaf1c",4133:"30c8c9a7",4417:"87229874",4429:"0a7099d8",4633:"5ff8fd28",4930:"1558292e",5475:"dfef96d2",5562:"e31ab0c8",5572:"900153bb",5628:"b540b4fe",5634:"92ba7913",5742:"7728a8b8",5772:"2d1e00e7",6008:"b310996f",6147:"481d3fae",6900:"ad0db0de",7098:"c1ae1626",7118:"687ca843",7211:"4ffb205b",7258:"a9a0ccb4",7338:"b520aa6a",7408:"7aea1959",7453:"e341009b",7462:"9216a547",7892:"3972bc33",8031:"9ecebac7",8054:"8d11cc7d",8261:"cb04f4b5",8356:"41d3780f",8401:"f87fbc20",8598:"5efd88f8",8661:"c561022e",8927:"9117ab52",8929:"029106ed",8953:"6ca523e2",9048:"6c0ab240",9126:"7e15d790",9141:"6473b46e",9304:"447646ac",9306:"5f9fab49",9455:"8c81b845",9461:"5e40108d",9580:"3c6ddcce",9642:"c17d82a2",9647:"803b6717"}[e]+".js",b.miniCssF=e=>{},b.g=function(){if("object"==typeof globalThis)return globalThis;try{return this||new Function("return this")()}catch(e){if("object"==typeof window)return window}}(),b.o=(e,a)=>Object.prototype.hasOwnProperty.call(e,a),c={},d="langflow-docs:",b.l=(e,a,f,t)=>{if(c[e])c[e].push(a);else{var r,o;if(void 0!==f)for(var n=document.getElementsByTagName("script"),i=0;i{r.onerror=r.onload=null,clearTimeout(s);var d=c[e];if(delete c[e],r.parentNode&&r.parentNode.removeChild(r),d&&d.forEach((e=>e(f))),a)return a(f)},s=setTimeout(u.bind(null,void 0,{type:"timeout",target:r}),12e4);r.onerror=u.bind(null,r.onerror),r.onload=u.bind(null,r.onload),o&&document.head.appendChild(r)}},b.r=e=>{"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(e,"__esModule",{value:!0})},b.p="/",b.gca=function(e){return e={17896441:"8401",19136925:"9141",b7251463:"51","0be1d5fe":"145",fe965b62:"784",dc7b1ef3:"868","16d61ab3":"1039","647965d5":"1227","1b523369":"1246","7da17ff3":"1258","8054effa":"1394",ecd98ae0:"1456","3ef76b56":"1563","22dd74f7":"1567",c3616f7f:"1917",c0d3c6ab:"2431","8ff68e6f":"2624",a3ab51d1:"2657","2efb9d3a":"2691","6a2beaac":"3110","6aa941bb":"3327",c8dad5f1:"3917",f61c9ce2:"3954","829ff4d2":"3964",c2ebd62a:"4028","9ac856ad":"4046","5cf11f26":"4133",f659caff:"4417","32cedcea":"4429",c563aec0:"4633",d2ad385b:"4930","18f3809a":"5475","20e9af62":"5562","873ebc27":"5572",a83bc7c0:"5628","9822a706":"5634",aba21aa0:"5742",f66238ae:"5772","445668ec":"6008",ab17fe15:"6147","3f8193f3":"6900",a7bd4aaa:"7098","4ce9199e":"7118",cacdc615:"7211","11478de3":"7258",c39b795e:"7338","3ae94ad4":"7408",fdefa9a8:"7453","921b5fc1":"7462","790349b7":"7892","25bf2d67":"8031","85112c90":"8054","474d53cd":"8261",c6a5eaec:"8356","44dfcf75":"8598","8f774222":"8661",ae68aa8b:"8927","172b3cfb":"8929",adef6868:"8953",a94703ab:"9048",ea3c040a:"9126",c329cc2b:"9304","667d0790":"9306","54175a6c":"9455","23d0e682":"9461",f81a91eb:"9580",eae80ce0:"9642","5e95c892":"9647"}[e]||e,b.p+b.u(e)},(()=>{var e={5354:0,1869:0};b.f.j=(a,f)=>{var c=b.o(e,a)?e[a]:void 0;if(0!==c)if(c)f.push(c[2]);else if(/^(1869|5354)$/.test(a))e[a]=0;else{var d=new Promise(((f,d)=>c=e[a]=[f,d]));f.push(c[2]=d);var t=b.p+b.u(a),r=new Error;b.l(t,(f=>{if(b.o(e,a)&&(0!==(c=e[a])&&(e[a]=void 0),c)){var d=f&&("load"===f.type?"missing":f.type),t=f&&f.target&&f.target.src;r.message="Loading chunk "+a+" failed.\n("+d+": "+t+")",r.name="ChunkLoadError",r.type=d,r.request=t,c[1](r)}}),"chunk-"+a,a)}},b.O.j=a=>0===e[a];var a=(a,f)=>{var c,d,t=f[0],r=f[1],o=f[2],n=0;if(t.some((a=>0!==e[a]))){for(c in r)b.o(r,c)&&(b.m[c]=r[c]);if(o)var i=o(b)}for(a&&a(f);n - + diff --git a/components-custom-components.html b/components-custom-components.html index f5891f3c17..ce383f14ce 100644 --- a/components-custom-components.html +++ b/components-custom-components.html @@ -10,7 +10,7 @@ - + diff --git a/components-data.html b/components-data.html index 4a8b9bd660..9b651a826c 100644 --- a/components-data.html +++ b/components-data.html @@ -10,7 +10,7 @@ - + diff --git a/components-embedding-models.html b/components-embedding-models.html index 95ccaab454..d3f0435cff 100644 --- a/components-embedding-models.html +++ b/components-embedding-models.html @@ -10,7 +10,7 @@ - + diff --git a/components-helpers.html b/components-helpers.html index ee7c7bb48b..c840a85f5d 100644 --- a/components-helpers.html +++ b/components-helpers.html @@ -10,7 +10,7 @@ - + diff --git a/components-io.html b/components-io.html index e658c05c33..222b81d771 100644 --- a/components-io.html +++ b/components-io.html @@ -10,7 +10,7 @@ - + diff --git a/components-loaders.html b/components-loaders.html index 636ab74b06..bae4814771 100644 --- a/components-loaders.html +++ b/components-loaders.html @@ -10,7 +10,7 @@ - + diff --git a/components-models.html b/components-models.html index e8dfd3d920..0887dd9aed 100644 --- a/components-models.html +++ b/components-models.html @@ -10,7 +10,7 @@ - + diff --git a/components-overview.html b/components-overview.html index 92c4e261c5..ff7f514459 100644 --- a/components-overview.html +++ b/components-overview.html @@ -10,7 +10,7 @@ - + diff --git a/components-prompts.html b/components-prompts.html index 1750016557..abb2652d2e 100644 --- a/components-prompts.html +++ b/components-prompts.html @@ -10,7 +10,7 @@ - + diff --git a/components-rag.html b/components-rag.html index 61fac8c5df..a230f1082e 100644 --- a/components-rag.html +++ b/components-rag.html @@ -10,7 +10,7 @@ - + diff --git a/components-vector-stores.html b/components-vector-stores.html index 60e24488c5..6073680ce7 100644 --- a/components-vector-stores.html +++ b/components-vector-stores.html @@ -10,7 +10,7 @@ - + @@ -23,7 +23,7 @@

For more information, see the DataStax documentation.

Parameters​

Inputs​

-
NameDisplay NameInfo
collection_nameCollection NameThe name of the collection within Astra DB where the vectors will be stored (required)
tokenAstra DB Application TokenAuthentication token for accessing Astra DB (required)
api_endpointAPI EndpointAPI endpoint URL for the Astra DB service (required)
search_inputSearch InputQuery string for similarity search
ingest_dataIngest DataData to be ingested into the vector store
namespaceNamespaceOptional namespace within Astra DB to use for the collection
embedding_serviceEmbedding Model or Astra VectorizeDetermines whether to use an Embedding Model or Astra Vectorize for the collection
embeddingEmbedding ModelAllows an embedding model configuration (when using Embedding Model)
providerVectorize ProviderProvider for Astra Vectorize (when using Astra Vectorize)
metricMetricOptional distance metric for vector comparisons
batch_sizeBatch SizeOptional number of data to process in a single batch
setup_modeSetup ModeConfiguration mode for setting up the vector store (options: "Sync", "Async", "Off", default: "Sync")
pre_delete_collectionPre Delete CollectionBoolean flag to determine whether to delete the collection before creating a new one
number_of_resultsNumber of ResultsNumber of results to return in similarity search (default: 4)
search_typeSearch TypeSearch type to use (options: "Similarity", "Similarity with score threshold", "MMR (Max Marginal Relevance)")
search_score_thresholdSearch Score ThresholdMinimum similarity score threshold for search results
search_filterSearch Metadata FilterOptional dictionary of filters to apply to the search query
+
NameDisplay NameInfo
collection_nameCollection NameThe name of the collection within Astra DB where the vectors will be stored (required)
tokenAstra DB Application TokenAuthentication token for accessing Astra DB (required)
api_endpointAPI EndpointAPI endpoint URL for the Astra DB service (required)
search_inputSearch InputQuery string for similarity search
ingest_dataIngest DataData to be ingested into the vector store
namespaceNamespaceOptional namespace within Astra DB to use for the collection
embedding_choiceEmbedding Model or Astra VectorizeDetermines whether to use an Embedding Model or Astra Vectorize for the collection
embeddingEmbedding ModelAllows an embedding model configuration (when using Embedding Model)
providerVectorize ProviderProvider for Astra Vectorize (when using Astra Vectorize)
metricMetricOptional distance metric for vector comparisons
batch_sizeBatch SizeOptional number of data to process in a single batch
setup_modeSetup ModeConfiguration mode for setting up the vector store (options: "Sync", "Async", "Off", default: "Sync")
pre_delete_collectionPre Delete CollectionBoolean flag to determine whether to delete the collection before creating a new one
number_of_resultsNumber of ResultsNumber of results to return in similarity search (default: 4)
search_typeSearch TypeSearch type to use (options: "Similarity", "Similarity with score threshold", "MMR (Max Marginal Relevance)")
search_score_thresholdSearch Score ThresholdMinimum similarity score threshold for search results
search_filterSearch Metadata FilterOptional dictionary of filters to apply to the search query

Outputs​

NameDisplay NameInfo
vector_storeVector StoreBuilt Astra DB vector store
search_resultsSearch ResultsResults of the similarity search as a list of Data objects

Cassandra​

diff --git a/configuration-api-keys.html b/configuration-api-keys.html index 6ce89170f8..002cf5550b 100644 --- a/configuration-api-keys.html +++ b/configuration-api-keys.html @@ -10,7 +10,7 @@ - + diff --git a/configuration-authentication.html b/configuration-authentication.html index 38bc056ee1..3968338699 100644 --- a/configuration-authentication.html +++ b/configuration-authentication.html @@ -10,7 +10,7 @@ - + diff --git a/configuration-auto-save.html b/configuration-auto-save.html index bee69c1969..d9b0f43a6d 100644 --- a/configuration-auto-save.html +++ b/configuration-auto-save.html @@ -10,7 +10,7 @@ - + diff --git a/configuration-backend-only.html b/configuration-backend-only.html index 0d391bba95..da1a2d2b49 100644 --- a/configuration-backend-only.html +++ b/configuration-backend-only.html @@ -10,7 +10,7 @@ - + diff --git a/configuration-cli.html b/configuration-cli.html index a5636b8781..d56b35d495 100644 --- a/configuration-cli.html +++ b/configuration-cli.html @@ -10,7 +10,7 @@ - + diff --git a/configuration-global-variables.html b/configuration-global-variables.html index 2046fda6c0..c81028775d 100644 --- a/configuration-global-variables.html +++ b/configuration-global-variables.html @@ -10,7 +10,7 @@ - + diff --git a/contributing-community.html b/contributing-community.html index 7302833200..74d266997c 100644 --- a/contributing-community.html +++ b/contributing-community.html @@ -10,7 +10,7 @@ - + diff --git a/contributing-components.html b/contributing-components.html index 582440ceff..a002d21630 100644 --- a/contributing-components.html +++ b/contributing-components.html @@ -10,7 +10,7 @@ - + diff --git a/contributing-github-discussions.html b/contributing-github-discussions.html index 0572a2919a..f3c5993d64 100644 --- a/contributing-github-discussions.html +++ b/contributing-github-discussions.html @@ -10,7 +10,7 @@ - + diff --git a/contributing-github-issues.html b/contributing-github-issues.html index 6adaf9d2dc..31d706f7d2 100644 --- a/contributing-github-issues.html +++ b/contributing-github-issues.html @@ -10,7 +10,7 @@ - + diff --git a/contributing-how-to-contribute.html b/contributing-how-to-contribute.html index 8964601476..67e9f3b414 100644 --- a/contributing-how-to-contribute.html +++ b/contributing-how-to-contribute.html @@ -10,7 +10,7 @@ - + diff --git a/contributing-telemetry.html b/contributing-telemetry.html index 253b331165..f5e60d2412 100644 --- a/contributing-telemetry.html +++ b/contributing-telemetry.html @@ -10,7 +10,7 @@ - + diff --git a/deployment-docker.html b/deployment-docker.html index 71c7f84ed4..ccbc1e7937 100644 --- a/deployment-docker.html +++ b/deployment-docker.html @@ -10,7 +10,7 @@ - + diff --git a/deployment-gcp.html b/deployment-gcp.html index dcb7b070e9..d077b53031 100644 --- a/deployment-gcp.html +++ b/deployment-gcp.html @@ -10,7 +10,7 @@ - + diff --git a/deployment-hugging-face-spaces.html b/deployment-hugging-face-spaces.html index 053bf1a4d1..3741945f15 100644 --- a/deployment-hugging-face-spaces.html +++ b/deployment-hugging-face-spaces.html @@ -10,7 +10,7 @@ - + diff --git a/deployment-kubernetes.html b/deployment-kubernetes.html index 5d86462735..2c7087aa4d 100644 --- a/deployment-kubernetes.html +++ b/deployment-kubernetes.html @@ -10,7 +10,7 @@ - + diff --git a/deployment-railway.html b/deployment-railway.html index f2def6d6ab..3ff0745dd8 100644 --- a/deployment-railway.html +++ b/deployment-railway.html @@ -10,7 +10,7 @@ - + diff --git a/deployment-render.html b/deployment-render.html index 942174b98e..455227b124 100644 --- a/deployment-render.html +++ b/deployment-render.html @@ -10,7 +10,7 @@ - + diff --git a/environment-variables.html b/environment-variables.html index 52dc005389..ef95e0599b 100644 --- a/environment-variables.html +++ b/environment-variables.html @@ -10,7 +10,7 @@ - + diff --git a/getting-started-installation.html b/getting-started-installation.html index 24f10e9788..3d83027f10 100644 --- a/getting-started-installation.html +++ b/getting-started-installation.html @@ -10,7 +10,7 @@ - + diff --git a/getting-started-quickstart.html b/getting-started-quickstart.html index 44d146af44..ec5fb88a30 100644 --- a/getting-started-quickstart.html +++ b/getting-started-quickstart.html @@ -10,7 +10,7 @@ - + diff --git a/guides-chat-memory.html b/guides-chat-memory.html index 4446008cab..be05677172 100644 --- a/guides-chat-memory.html +++ b/guides-chat-memory.html @@ -10,7 +10,7 @@ - + diff --git a/guides-data-message.html b/guides-data-message.html index e47bdb28a6..bb44561d7f 100644 --- a/guides-data-message.html +++ b/guides-data-message.html @@ -10,7 +10,7 @@ - + diff --git a/guides-new-to-llms.html b/guides-new-to-llms.html index 3e57e3f3dd..00156af75a 100644 --- a/guides-new-to-llms.html +++ b/guides-new-to-llms.html @@ -10,7 +10,7 @@ - + diff --git a/index.html b/index.html index 6dce4ccd26..b5d2299413 100644 --- a/index.html +++ b/index.html @@ -10,7 +10,7 @@ - + diff --git a/integrations-assemblyai.html b/integrations-assemblyai.html index 15a43595e9..49bfe78f48 100644 --- a/integrations-assemblyai.html +++ b/integrations-assemblyai.html @@ -10,7 +10,7 @@ - + diff --git a/integrations-langfuse.html b/integrations-langfuse.html index 9bef2e96ff..5aca4fb66b 100644 --- a/integrations-langfuse.html +++ b/integrations-langfuse.html @@ -10,7 +10,7 @@ - + diff --git a/integrations-langsmith.html b/integrations-langsmith.html index a78617f138..c602196315 100644 --- a/integrations-langsmith.html +++ b/integrations-langsmith.html @@ -10,7 +10,7 @@ - + diff --git a/integrations-langwatch.html b/integrations-langwatch.html index 184a177f7c..8266f2bf97 100644 --- a/integrations-langwatch.html +++ b/integrations-langwatch.html @@ -10,7 +10,7 @@ - + diff --git a/integrations-setup-google-oauth-langflow.html b/integrations-setup-google-oauth-langflow.html index 93e81141fb..fcd1812b7b 100644 --- a/integrations-setup-google-oauth-langflow.html +++ b/integrations-setup-google-oauth-langflow.html @@ -10,7 +10,7 @@ - + diff --git a/integrations/notion/notion-agent-conversational.html b/integrations/notion/notion-agent-conversational.html index 492733514c..b367971e6d 100644 --- a/integrations/notion/notion-agent-conversational.html +++ b/integrations/notion/notion-agent-conversational.html @@ -10,7 +10,7 @@ - + diff --git a/integrations/notion/notion-agent-meeting-notes.html b/integrations/notion/notion-agent-meeting-notes.html index c8a1c5d591..123fca5b00 100644 --- a/integrations/notion/notion-agent-meeting-notes.html +++ b/integrations/notion/notion-agent-meeting-notes.html @@ -10,7 +10,7 @@ - + diff --git a/integrations/notion/setup.html b/integrations/notion/setup.html index ad88c229d5..71a5428f7f 100644 --- a/integrations/notion/setup.html +++ b/integrations/notion/setup.html @@ -10,7 +10,7 @@ - + diff --git a/sitemap.xml b/sitemap.xml index ba3ee5ea91..6183d7e5ce 100644 --- a/sitemap.xml +++ b/sitemap.xml @@ -1 +1 @@ -https://docs.langflow.org/agents-overview2024-11-18T18:00:05.000Zhttps://docs.langflow.org/agents-tool-calling-agent-component2024-11-18T18:00:05.000Zhttps://docs.langflow.org/components-agents2024-11-18T18:00:05.000Zhttps://docs.langflow.org/components-custom-components2024-11-18T18:00:05.000Zhttps://docs.langflow.org/components-data2024-11-18T18:00:05.000Zhttps://docs.langflow.org/components-embedding-models2024-11-18T18:00:05.000Zhttps://docs.langflow.org/components-helpers2024-11-18T18:00:05.000Zhttps://docs.langflow.org/components-io2024-11-18T18:00:05.000Zhttps://docs.langflow.org/components-loaders2024-11-18T18:00:05.000Zhttps://docs.langflow.org/components-models2024-11-18T18:00:05.000Zhttps://docs.langflow.org/components-overview2024-11-18T18:00:05.000Zhttps://docs.langflow.org/components-prompts2024-11-18T18:00:05.000Zhttps://docs.langflow.org/components-rag2024-11-18T18:00:05.000Zhttps://docs.langflow.org/components-vector-stores2024-11-18T18:00:05.000Zhttps://docs.langflow.org/Components/components-logic2024-11-18T18:00:05.000Zhttps://docs.langflow.org/Components/components-memories2024-11-18T18:00:05.000Zhttps://docs.langflow.org/Components/components-tools2024-11-18T18:00:05.000Zhttps://docs.langflow.org/configuration-api-keys2024-11-18T18:00:05.000Zhttps://docs.langflow.org/configuration-authentication2024-11-18T18:00:05.000Zhttps://docs.langflow.org/configuration-auto-save2024-11-18T18:00:05.000Zhttps://docs.langflow.org/configuration-backend-only2024-11-18T18:00:05.000Zhttps://docs.langflow.org/configuration-cli2024-11-18T18:00:05.000Zhttps://docs.langflow.org/configuration-global-variables2024-11-18T18:00:05.000Zhttps://docs.langflow.org/contributing-community2024-11-18T18:00:05.000Zhttps://docs.langflow.org/contributing-components2024-11-18T18:00:05.000Zhttps://docs.langflow.org/contributing-github-discussions2024-11-18T18:00:05.000Zhttps://docs.langflow.org/contributing-github-issues2024-11-18T18:00:05.000Zhttps://docs.langflow.org/contributing-how-to-contribute2024-11-18T18:00:05.000Zhttps://docs.langflow.org/contributing-telemetry2024-11-18T18:00:05.000Zhttps://docs.langflow.org/deployment-docker2024-11-18T18:00:05.000Zhttps://docs.langflow.org/deployment-gcp2024-11-18T18:00:05.000Zhttps://docs.langflow.org/deployment-hugging-face-spaces2024-11-18T18:00:05.000Zhttps://docs.langflow.org/deployment-kubernetes2024-11-18T18:00:05.000Zhttps://docs.langflow.org/deployment-railway2024-11-18T18:00:05.000Zhttps://docs.langflow.org/deployment-render2024-11-18T18:00:05.000Zhttps://docs.langflow.org/environment-variables2024-11-18T18:00:05.000Zhttps://docs.langflow.org/getting-started-installation2024-11-18T18:00:05.000Zhttps://docs.langflow.org/getting-started-quickstart2024-11-18T18:00:05.000Zhttps://docs.langflow.org/guides-chat-memory2024-11-18T18:00:05.000Zhttps://docs.langflow.org/guides-data-message2024-11-18T18:00:05.000Zhttps://docs.langflow.org/guides-new-to-llms2024-11-18T18:00:05.000Zhttps://docs.langflow.org/integrations-assemblyai2024-11-18T18:00:05.000Zhttps://docs.langflow.org/integrations-langfuse2024-11-18T18:00:05.000Zhttps://docs.langflow.org/integrations-langsmith2024-11-18T18:00:05.000Zhttps://docs.langflow.org/integrations-langwatch2024-11-18T18:00:05.000Zhttps://docs.langflow.org/integrations-setup-google-oauth-langflow2024-11-18T18:00:05.000Zhttps://docs.langflow.org/integrations/notion/notion-agent-conversational2024-11-18T18:00:05.000Zhttps://docs.langflow.org/integrations/notion/notion-agent-meeting-notes2024-11-18T18:00:05.000Zhttps://docs.langflow.org/integrations/notion/setup2024-11-18T18:00:05.000Zhttps://docs.langflow.org/starter-projects-basic-prompting2024-11-18T18:00:05.000Zhttps://docs.langflow.org/starter-projects-blog-writer2024-11-18T18:00:05.000Zhttps://docs.langflow.org/starter-projects-document-qa2024-11-18T18:00:05.000Zhttps://docs.langflow.org/starter-projects-dynamic-agent2024-11-18T18:00:05.000Zhttps://docs.langflow.org/starter-projects-memory-chatbot2024-11-18T18:00:05.000Zhttps://docs.langflow.org/starter-projects-simple-agent2024-11-18T18:00:05.000Zhttps://docs.langflow.org/starter-projects-travel-planning-agent2024-11-18T18:00:05.000Zhttps://docs.langflow.org/starter-projects-vector-store-rag2024-11-18T18:00:05.000Zhttps://docs.langflow.org/workspace-api2024-11-18T18:00:05.000Zhttps://docs.langflow.org/workspace-logs2024-11-18T18:00:05.000Zhttps://docs.langflow.org/workspace-overview2024-11-18T18:00:05.000Zhttps://docs.langflow.org/workspace-playground2024-11-18T18:00:05.000Zhttps://docs.langflow.org/2024-11-18T18:00:05.000Z \ No newline at end of file +https://docs.langflow.org/agents-overview2024-11-19T01:44:42.000Zhttps://docs.langflow.org/agents-tool-calling-agent-component2024-11-19T01:44:42.000Zhttps://docs.langflow.org/components-agents2024-11-19T01:44:42.000Zhttps://docs.langflow.org/components-custom-components2024-11-19T01:44:42.000Zhttps://docs.langflow.org/components-data2024-11-19T01:44:42.000Zhttps://docs.langflow.org/components-embedding-models2024-11-19T01:44:42.000Zhttps://docs.langflow.org/components-helpers2024-11-19T01:44:42.000Zhttps://docs.langflow.org/components-io2024-11-19T01:44:42.000Zhttps://docs.langflow.org/components-loaders2024-11-19T01:44:42.000Zhttps://docs.langflow.org/components-models2024-11-19T01:44:42.000Zhttps://docs.langflow.org/components-overview2024-11-19T01:44:42.000Zhttps://docs.langflow.org/components-prompts2024-11-19T01:44:42.000Zhttps://docs.langflow.org/components-rag2024-11-19T01:44:42.000Zhttps://docs.langflow.org/components-vector-stores2024-11-19T01:44:42.000Zhttps://docs.langflow.org/Components/components-logic2024-11-19T01:44:42.000Zhttps://docs.langflow.org/Components/components-memories2024-11-19T01:44:42.000Zhttps://docs.langflow.org/Components/components-tools2024-11-19T01:44:42.000Zhttps://docs.langflow.org/configuration-api-keys2024-11-19T01:44:42.000Zhttps://docs.langflow.org/configuration-authentication2024-11-19T01:44:42.000Zhttps://docs.langflow.org/configuration-auto-save2024-11-19T01:44:42.000Zhttps://docs.langflow.org/configuration-backend-only2024-11-19T01:44:42.000Zhttps://docs.langflow.org/configuration-cli2024-11-19T01:44:42.000Zhttps://docs.langflow.org/configuration-global-variables2024-11-19T01:44:42.000Zhttps://docs.langflow.org/contributing-community2024-11-19T01:44:42.000Zhttps://docs.langflow.org/contributing-components2024-11-19T01:44:42.000Zhttps://docs.langflow.org/contributing-github-discussions2024-11-19T01:44:42.000Zhttps://docs.langflow.org/contributing-github-issues2024-11-19T01:44:42.000Zhttps://docs.langflow.org/contributing-how-to-contribute2024-11-19T01:44:42.000Zhttps://docs.langflow.org/contributing-telemetry2024-11-19T01:44:42.000Zhttps://docs.langflow.org/deployment-docker2024-11-19T01:44:42.000Zhttps://docs.langflow.org/deployment-gcp2024-11-19T01:44:42.000Zhttps://docs.langflow.org/deployment-hugging-face-spaces2024-11-19T01:44:42.000Zhttps://docs.langflow.org/deployment-kubernetes2024-11-19T01:44:42.000Zhttps://docs.langflow.org/deployment-railway2024-11-19T01:44:42.000Zhttps://docs.langflow.org/deployment-render2024-11-19T01:44:42.000Zhttps://docs.langflow.org/environment-variables2024-11-19T01:44:42.000Zhttps://docs.langflow.org/getting-started-installation2024-11-19T01:44:42.000Zhttps://docs.langflow.org/getting-started-quickstart2024-11-19T01:44:42.000Zhttps://docs.langflow.org/guides-chat-memory2024-11-19T01:44:42.000Zhttps://docs.langflow.org/guides-data-message2024-11-19T01:44:42.000Zhttps://docs.langflow.org/guides-new-to-llms2024-11-19T01:44:42.000Zhttps://docs.langflow.org/integrations-assemblyai2024-11-19T01:44:42.000Zhttps://docs.langflow.org/integrations-langfuse2024-11-19T01:44:42.000Zhttps://docs.langflow.org/integrations-langsmith2024-11-19T01:44:42.000Zhttps://docs.langflow.org/integrations-langwatch2024-11-19T01:44:42.000Zhttps://docs.langflow.org/integrations-setup-google-oauth-langflow2024-11-19T01:44:42.000Zhttps://docs.langflow.org/integrations/notion/notion-agent-conversational2024-11-19T01:44:42.000Zhttps://docs.langflow.org/integrations/notion/notion-agent-meeting-notes2024-11-19T01:44:42.000Zhttps://docs.langflow.org/integrations/notion/setup2024-11-19T01:44:42.000Zhttps://docs.langflow.org/starter-projects-basic-prompting2024-11-19T01:44:42.000Zhttps://docs.langflow.org/starter-projects-blog-writer2024-11-19T01:44:42.000Zhttps://docs.langflow.org/starter-projects-document-qa2024-11-19T01:44:42.000Zhttps://docs.langflow.org/starter-projects-dynamic-agent2024-11-19T01:44:42.000Zhttps://docs.langflow.org/starter-projects-memory-chatbot2024-11-19T01:44:42.000Zhttps://docs.langflow.org/starter-projects-simple-agent2024-11-19T01:44:42.000Zhttps://docs.langflow.org/starter-projects-travel-planning-agent2024-11-19T01:44:42.000Zhttps://docs.langflow.org/starter-projects-vector-store-rag2024-11-19T01:44:42.000Zhttps://docs.langflow.org/workspace-api2024-11-19T01:44:42.000Zhttps://docs.langflow.org/workspace-logs2024-11-19T01:44:42.000Zhttps://docs.langflow.org/workspace-overview2024-11-19T01:44:42.000Zhttps://docs.langflow.org/workspace-playground2024-11-19T01:44:42.000Zhttps://docs.langflow.org/2024-11-19T01:44:42.000Z \ No newline at end of file diff --git a/starter-projects-basic-prompting.html b/starter-projects-basic-prompting.html index 0b4f4b40d7..ca1a3c1964 100644 --- a/starter-projects-basic-prompting.html +++ b/starter-projects-basic-prompting.html @@ -10,7 +10,7 @@ - + diff --git a/starter-projects-blog-writer.html b/starter-projects-blog-writer.html index 4e1c039530..80b0824861 100644 --- a/starter-projects-blog-writer.html +++ b/starter-projects-blog-writer.html @@ -10,7 +10,7 @@ - + diff --git a/starter-projects-document-qa.html b/starter-projects-document-qa.html index 15047fb915..b2bdfa967f 100644 --- a/starter-projects-document-qa.html +++ b/starter-projects-document-qa.html @@ -10,7 +10,7 @@ - + diff --git a/starter-projects-dynamic-agent.html b/starter-projects-dynamic-agent.html index e0e2791da4..95c3407b4a 100644 --- a/starter-projects-dynamic-agent.html +++ b/starter-projects-dynamic-agent.html @@ -10,7 +10,7 @@ - + diff --git a/starter-projects-memory-chatbot.html b/starter-projects-memory-chatbot.html index 220aad67a0..91434f5537 100644 --- a/starter-projects-memory-chatbot.html +++ b/starter-projects-memory-chatbot.html @@ -10,7 +10,7 @@ - + diff --git a/starter-projects-simple-agent.html b/starter-projects-simple-agent.html index c8cf656cd9..be2eea373e 100644 --- a/starter-projects-simple-agent.html +++ b/starter-projects-simple-agent.html @@ -10,7 +10,7 @@ - + diff --git a/starter-projects-travel-planning-agent.html b/starter-projects-travel-planning-agent.html index 0838413996..8ea47588a1 100644 --- a/starter-projects-travel-planning-agent.html +++ b/starter-projects-travel-planning-agent.html @@ -10,7 +10,7 @@ - + diff --git a/starter-projects-vector-store-rag.html b/starter-projects-vector-store-rag.html index 01c1d670ed..d6de776fd4 100644 --- a/starter-projects-vector-store-rag.html +++ b/starter-projects-vector-store-rag.html @@ -10,7 +10,7 @@ - + diff --git a/workspace-api.html b/workspace-api.html index 8b9ba4364a..76c74db8b8 100644 --- a/workspace-api.html +++ b/workspace-api.html @@ -10,7 +10,7 @@ - + diff --git a/workspace-logs.html b/workspace-logs.html index a7ce283e88..05e063f8a8 100644 --- a/workspace-logs.html +++ b/workspace-logs.html @@ -10,7 +10,7 @@ - + diff --git a/workspace-overview.html b/workspace-overview.html index 57d2def23d..0cec5d9e68 100644 --- a/workspace-overview.html +++ b/workspace-overview.html @@ -10,7 +10,7 @@ - + diff --git a/workspace-playground.html b/workspace-playground.html index 72989e5095..ec66aff2e1 100644 --- a/workspace-playground.html +++ b/workspace-playground.html @@ -10,7 +10,7 @@ - +