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see the video tutorial ",(0,s.jsx)(n.a,{href:"https://www.youtube.com/watch?v=5DuS6uRI5OM",children:"Docling + Langflow: Document Processing for AI Workflows"}),"."]})}),"\n",(0,s.jsx)(n.p,{children:"This example demonstrates how to use Docling components to split a PDF in a flow:"}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Connect a ",(0,s.jsx)(n.strong,{children:"Docling"})," and an ",(0,s.jsx)(n.strong,{children:"Export DoclingDocument"})," component to a ",(0,s.jsxs)(n.a,{href:"/components-processing#split-text",children:[(0,s.jsx)(n.strong,{children:"Split Text"})," component"]}),"."]}),"\n",(0,s.jsxs)(n.p,{children:["The ",(0,s.jsx)(n.strong,{children:"Docling"})," component loads the document, and the ",(0,s.jsx)(n.strong,{children:"Export DoclingDocument"})," component converts the ",(0,s.jsx)(n.code,{children:"DoclingDocument"})," into the format you select. This example converts the document to Markdown, with images represented as placeholders.\nThe ",(0,s.jsx)(n.strong,{children:"Split Text"})," component will split the Markdown into chunks for the vector database to store in the next part of the flow."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Connect a ",(0,s.jsxs)(n.a,{href:"/bundles-chroma#chroma-db",children:[(0,s.jsx)(n.strong,{children:"Chroma DB"})," vector store component"]})," to the ",(0,s.jsx)(n.strong,{children:"Split Text"})," component's ",(0,s.jsx)(n.strong,{children:"Chunks"})," output."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Connect an ",(0,s.jsx)(n.a,{href:"/components-embedding-models",children:"embedding model component"})," to the ",(0,s.jsx)(n.strong,{children:"Chroma DB"})," component's ",(0,s.jsx)(n.strong,{children:"Embedding"})," port and a ",(0,s.jsx)(n.strong,{children:"Chat Output"})," component to view the extracted ",(0,s.jsx)(n.a,{href:"/data-types#dataframe",children:(0,s.jsx)(n.code,{children:"DataFrame"})}),"."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsx)(n.p,{children:"In the embedding model component, select your preferred model, provide credentials, and configure other settings as needed."}),"\n",(0,s.jsx)(n.p,{children:(0,s.jsx)(n.img,{alt:"Docling and ExportDoclingDocument extracting and splitting text to vector database",src:t(16728).A+"",width:"4000",height:"2060"})}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Add a file to the ",(0,s.jsx)(n.strong,{children:"Docling"})," component."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["To run the flow, click ",(0,s.jsx)(i.A,{name:"Play","aria-hidden":"true"})," ",(0,s.jsx)(n.strong,{children:"Playground"}),"."]}),"\n",(0,s.jsx)(n.p,{children:"The chunked document is loaded as vectors into your vector database."}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(n.h2,{id:"docling-components",children:"Docling components"}),"\n",(0,s.jsxs)(n.p,{children:["The following sections describe the purpose and configuration options for each component in the ",(0,s.jsx)(n.strong,{children:"Docling"})," bundle."]}),"\n",(0,s.jsx)(n.h3,{id:"docling-language-model",children:"Docling language model"}),"\n",(0,s.jsxs)(n.p,{children:["The ",(0,s.jsx)(n.strong,{children:"Docling"})," language model component ingest documents, and then uses Docling to process them by running the Docling models locally."]}),"\n",(0,s.jsxs)(n.p,{children:["It outputs ",(0,s.jsx)(n.code,{children:"files"}),", which is the processed files with ",(0,s.jsx)(n.code,{children:"DoclingDocument"})," data."]}),"\n",(0,s.jsxs)(n.p,{children:["For more information, see the ",(0,s.jsx)(n.a,{href:"https://github.com/docling-project/docling-ibm-models",children:"Docling IBM models project repository"}),"."]}),"\n",(0,s.jsx)(n.h4,{id:"docling-parameters",children:"Docling parameters"}),"\n",(0,s.jsxs)(n.table,{children:[(0,s.jsx)(n.thead,{children:(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.th,{children:"Name"}),(0,s.jsx)(n.th,{children:"Type"}),(0,s.jsx)(n.th,{children:"Description"})]})}),(0,s.jsxs)(n.tbody,{children:[(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"files"}),(0,s.jsx)(n.td,{children:"File"}),(0,s.jsx)(n.td,{children:"The files to process."})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"pipeline"}),(0,s.jsx)(n.td,{children:"String"}),(0,s.jsx)(n.td,{children:"Docling pipeline to use (standard, vlm)."})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"ocr_engine"}),(0,s.jsx)(n.td,{children:"String"}),(0,s.jsx)(n.td,{children:"OCR engine to use (easyocr, tesserocr, rapidocr, ocrmac)."})]})]})]}),"\n",(0,s.jsx)(n.h3,{id:"docling-serve",children:"Docling Serve"}),"\n",(0,s.jsxs)(n.p,{children:["The ",(0,s.jsx)(n.strong,{children:"Docling Serve"})," component runs Docling as an API service."]}),"\n",(0,s.jsxs)(n.p,{children:["It outputs ",(0,s.jsx)(n.code,{children:"files"}),", which is the processed files with ",(0,s.jsx)(n.code,{children:"DoclingDocument"})," data."]}),"\n",(0,s.jsxs)(n.p,{children:["For more information, see the ",(0,s.jsx)(n.a,{href:"https://github.com/docling-project/docling-serve",children:"Docling serve project repository"}),"."]}),"\n",(0,s.jsx)(n.h4,{id:"docling-serve-parameters",children:"Docling Serve parameters"}),"\n",(0,s.jsxs)(n.table,{children:[(0,s.jsx)(n.thead,{children:(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.th,{children:"Name"}),(0,s.jsx)(n.th,{children:"Type"}),(0,s.jsx)(n.th,{children:"Description"})]})}),(0,s.jsxs)(n.tbody,{children:[(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"files"}),(0,s.jsx)(n.td,{children:"File"}),(0,s.jsx)(n.td,{children:"The files to process."})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"api_url"}),(0,s.jsx)(n.td,{children:"String"}),(0,s.jsx)(n.td,{children:"URL of the Docling Serve instance."})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"max_concurrency"}),(0,s.jsx)(n.td,{children:"Integer"}),(0,s.jsx)(n.td,{children:"Maximum number of concurrent requests for the server."})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"max_poll_timeout"}),(0,s.jsx)(n.td,{children:"Float"}),(0,s.jsx)(n.td,{children:"Maximum waiting time for the document conversion to complete."})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"api_headers"}),(0,s.jsx)(n.td,{children:"Dict"}),(0,s.jsx)(n.td,{children:"Optional dictionary of additional headers required for connecting to Docling Serve."})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"docling_serve_opts"}),(0,s.jsx)(n.td,{children:"Dict"}),(0,s.jsx)(n.td,{children:"Optional dictionary of additional options for Docling Serve."})]})]})]}),"\n",(0,s.jsx)(n.h3,{id:"chunk-doclingdocument",children:"Chunk DoclingDocument"}),"\n",(0,s.jsxs)(n.p,{children:["The ",(0,s.jsx)(n.strong,{children:"Chunk DoclingDocument"})," component uses the ",(0,s.jsx)(n.code,{children:"DoclingDocument"})," chunkers to split a document into chunks."]}),"\n",(0,s.jsxs)(n.p,{children:["It outputs the chunked documents as a ",(0,s.jsx)(n.a,{href:"/data-types#dataframe",children:(0,s.jsx)(n.code,{children:"DataFrame"})}),"."]}),"\n",(0,s.jsxs)(n.p,{children:["For more information, see the ",(0,s.jsx)(n.a,{href:"https://github.com/docling-project/docling-core",children:"Docling core project repository"}),"."]}),"\n",(0,s.jsx)(n.h4,{id:"chunk-doclingdocument-parameters",children:"Chunk DoclingDocument parameters"}),"\n",(0,s.jsxs)(n.table,{children:[(0,s.jsx)(n.thead,{children:(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.th,{children:"Name"}),(0,s.jsx)(n.th,{children:"Type"}),(0,s.jsx)(n.th,{children:"Description"})]})}),(0,s.jsxs)(n.tbody,{children:[(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"data_inputs"}),(0,s.jsx)(n.td,{children:"Data/DataFrame"}),(0,s.jsx)(n.td,{children:"The data with documents to split in chunks."})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"chunker"}),(0,s.jsx)(n.td,{children:"String"}),(0,s.jsx)(n.td,{children:"Which chunker to use (HybridChunker, HierarchicalChunker)."})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"provider"}),(0,s.jsx)(n.td,{children:"String"}),(0,s.jsx)(n.td,{children:"Which tokenizer provider (Hugging Face, OpenAI)."})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"hf_model_name"}),(0,s.jsx)(n.td,{children:"String"}),(0,s.jsx)(n.td,{children:"Model name of the tokenizer to use with the HybridChunker when Hugging Face is chosen."})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"openai_model_name"}),(0,s.jsx)(n.td,{children:"String"}),(0,s.jsx)(n.td,{children:"Model name of the tokenizer to use with the HybridChunker when OpenAI is chosen."})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"max_tokens"}),(0,s.jsx)(n.td,{children:"Integer"}),(0,s.jsx)(n.td,{children:"Maximum number of tokens for the HybridChunker."})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"doc_key"}),(0,s.jsx)(n.td,{children:"String"}),(0,s.jsxs)(n.td,{children:["The key to use for the ",(0,s.jsx)(n.code,{children:"DoclingDocument"})," column."]})]})]})]}),"\n",(0,s.jsx)(n.h3,{id:"export-doclingdocument",children:"Export DoclingDocument"}),"\n",(0,s.jsxs)(n.p,{children:["The ",(0,s.jsx)(n.strong,{children:"Export DoclingDocument"})," component exports ",(0,s.jsx)(n.code,{children:"DoclingDocument"})," to Markdown, HTML, and other formats."]}),"\n",(0,s.jsxs)(n.p,{children:["It can output the exported data as either ",(0,s.jsx)(n.a,{href:"/data-types#data",children:(0,s.jsx)(n.code,{children:"Data"})})," or ",(0,s.jsx)(n.a,{href:"/data-types#dataframe",children:(0,s.jsx)(n.code,{children:"DataFrame"})}),"."]}),"\n",(0,s.jsxs)(n.p,{children:["For more information, see the ",(0,s.jsx)(n.a,{href:"https://github.com/docling-project/docling-core",children:"Docling core project repository"}),"."]}),"\n",(0,s.jsx)(n.h4,{id:"export-doclingdocument-parameters",children:"Export DoclingDocument parameters"}),"\n",(0,s.jsxs)(n.table,{children:[(0,s.jsx)(n.thead,{children:(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.th,{children:"Name"}),(0,s.jsx)(n.th,{children:"Type"}),(0,s.jsx)(n.th,{children:"Description"})]})}),(0,s.jsxs)(n.tbody,{children:[(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"data_inputs"}),(0,s.jsx)(n.td,{children:"Data/DataFrame"}),(0,s.jsx)(n.td,{children:"The data with documents to 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b/bundles-apify.html index b42833848a..3067a42114 100644 --- a/bundles-apify.html +++ b/bundles-apify.html @@ -24,7 +24,7 @@ - + diff --git a/bundles-arxiv.html b/bundles-arxiv.html index 34fb433649..dc28458635 100644 --- a/bundles-arxiv.html +++ b/bundles-arxiv.html @@ -24,7 +24,7 @@ - + diff --git a/bundles-assemblyai.html b/bundles-assemblyai.html index 9a5fce2a8d..944f668bf9 100644 --- a/bundles-assemblyai.html +++ b/bundles-assemblyai.html @@ -24,7 +24,7 @@ - + diff --git a/bundles-azure.html b/bundles-azure.html index e304d03d21..08e8e5f452 100644 --- a/bundles-azure.html +++ b/bundles-azure.html @@ -24,7 +24,7 @@ - + diff --git a/bundles-baidu.html b/bundles-baidu.html index 5ea2d1411e..a0069df84d 100644 --- a/bundles-baidu.html +++ b/bundles-baidu.html @@ -24,7 +24,7 @@ - + diff --git a/bundles-bing.html b/bundles-bing.html index dc064ff4aa..5f51fbd5db 100644 --- a/bundles-bing.html +++ b/bundles-bing.html @@ -24,7 +24,7 @@ - + diff --git a/bundles-cassandra.html 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@@ - + diff --git a/bundles-composio.html b/bundles-composio.html index 597e305a40..dbbecd5b7b 100644 --- a/bundles-composio.html +++ b/bundles-composio.html @@ -24,7 +24,7 @@ - + diff --git a/bundles-couchbase.html b/bundles-couchbase.html index 95e490fa6e..5eaea5c067 100644 --- a/bundles-couchbase.html +++ b/bundles-couchbase.html @@ -24,7 +24,7 @@ - + diff --git a/bundles-datastax.html b/bundles-datastax.html index d6a29cdbc6..8b80a3c169 100644 --- a/bundles-datastax.html +++ b/bundles-datastax.html @@ -24,7 +24,7 @@ - + diff --git a/bundles-deepseek.html b/bundles-deepseek.html index 49f4a007ed..5da318fa87 100644 --- a/bundles-deepseek.html +++ b/bundles-deepseek.html @@ -24,7 +24,7 @@ - + diff --git a/bundles-docling.html b/bundles-docling.html index 60093866a9..458fabca70 100644 --- a/bundles-docling.html +++ b/bundles-docling.html @@ -24,7 +24,7 @@ - + @@ -51,13 +51,13 @@

Docling

Langflow integrates with Docling through a bundle of components for parsing documents.

Prerequisites​

    -
  • Enable Developer Mode for Windows:
    • -
+
  • +

    Enable Developer Mode for Windows:

    If you are running Langflow Desktop on Windows, you must enable Developer Mode to use the Docling components. The location of this setting depends on your Windows OS version. Find For developers in your Windows Settings, or search for "Developer" in the Windows search bar, and then enable Developer mode. You might need to restart your computer or Langflow to apply the change.

    -
      +

    • Install Docling dependency: The Docling dependency is required to use the Docling components in Langflow.

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