diff --git a/404.html b/404.html index 1c33c0b9f5..59ee8d13d8 100644 --- a/404.html +++ b/404.html @@ -21,7 +21,7 @@ - + diff --git a/agents-overview.html b/agents-overview.html index 172322e21f..c86eef7591 100644 --- a/agents-overview.html +++ b/agents-overview.html @@ -21,7 +21,7 @@ - + diff --git a/agents-tool-calling-agent-component.html b/agents-tool-calling-agent-component.html index f52c2f0d79..d21a35e825 100644 --- a/agents-tool-calling-agent-component.html +++ b/agents-tool-calling-agent-component.html @@ -21,7 +21,7 @@ - + diff --git a/api-reference-api-examples.html b/api-reference-api-examples.html index e620de9b5f..3392f68d46 100644 --- a/api-reference-api-examples.html +++ b/api-reference-api-examples.html @@ -21,7 +21,7 @@ - + diff --git a/api.html b/api.html index b7cf3b0138..d2f25f8694 100644 --- a/api.html +++ b/api.html @@ -21,7 +21,7 @@ - + diff --git a/api/add-user.html b/api/add-user.html index 17edffbf49..6dc980dd46 100644 --- a/api/add-user.html +++ b/api/add-user.html @@ -21,7 +21,7 @@ - + diff --git a/api/auto-login.html b/api/auto-login.html index 8c3cb40776..63c5ecc728 100644 --- a/api/auto-login.html +++ b/api/auto-login.html @@ -21,7 +21,7 @@ - + diff --git a/api/build-flow.html b/api/build-flow.html index 68dd4fcf93..3c6c4fab4e 100644 --- a/api/build-flow.html +++ b/api/build-flow.html @@ -21,7 +21,7 @@ - + diff --git a/api/build-public-tmp.html b/api/build-public-tmp.html index 87bfa80adf..26ee196182 100644 --- a/api/build-public-tmp.html +++ b/api/build-public-tmp.html @@ -21,7 +21,7 @@ - + diff --git a/api/build-vertex-stream.html b/api/build-vertex-stream.html index e9947d6a75..cabaf87798 100644 --- a/api/build-vertex-stream.html +++ b/api/build-vertex-stream.html @@ -21,7 +21,7 @@ - + diff --git a/api/build-vertex.html b/api/build-vertex.html index 7d7960eb49..5494844277 100644 --- a/api/build-vertex.html +++ b/api/build-vertex.html @@ -21,7 +21,7 @@ - + diff --git a/api/cancel-build.html b/api/cancel-build.html index 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5fd7aaad92..ff38657c3a 100644 --- a/api/create-flows.html +++ b/api/create-flows.html @@ -21,7 +21,7 @@ - + diff --git a/api/create-folder.html b/api/create-folder.html index 3a7eff8ff2..e71b8c8ca5 100644 --- a/api/create-folder.html +++ b/api/create-folder.html @@ -21,7 +21,7 @@ - + diff --git a/api/create-upload-file.html b/api/create-upload-file.html index 05eb26232d..61f4fb7fd2 100644 --- a/api/create-upload-file.html +++ b/api/create-upload-file.html @@ -21,7 +21,7 @@ - + diff --git a/api/create-variable.html b/api/create-variable.html index 06a874eeb7..9b4a023fc0 100644 --- a/api/create-variable.html +++ b/api/create-variable.html @@ -21,7 +21,7 @@ - + diff --git a/api/custom-component-update.html b/api/custom-component-update.html index 6ab87c53f3..787586122a 100644 --- a/api/custom-component-update.html +++ b/api/custom-component-update.html @@ -21,7 +21,7 @@ - + diff --git a/api/custom-component.html b/api/custom-component.html index b3c1078aaf..339ced8f5b 100644 --- a/api/custom-component.html +++ b/api/custom-component.html @@ -21,7 +21,7 @@ - + diff --git a/api/delete-all-files.html b/api/delete-all-files.html index c48d20d694..3d66417615 100644 --- a/api/delete-all-files.html +++ b/api/delete-all-files.html @@ -21,7 +21,7 @@ - + diff --git a/api/delete-api-key-route.html b/api/delete-api-key-route.html index 2518c9557b..1476fe0d26 100644 --- a/api/delete-api-key-route.html +++ b/api/delete-api-key-route.html @@ -21,7 +21,7 @@ - + diff --git a/api/delete-file-1.html b/api/delete-file-1.html index 96958739f4..9d9a8403b9 100644 --- a/api/delete-file-1.html +++ b/api/delete-file-1.html @@ -21,7 +21,7 @@ - + diff --git a/api/delete-file.html b/api/delete-file.html index a6f5db7d51..843a8a52bb 100644 --- a/api/delete-file.html +++ b/api/delete-file.html @@ -21,7 +21,7 @@ - + diff --git a/api/delete-flow.html b/api/delete-flow.html index 3ebd6f7068..847e87b0ca 100644 --- a/api/delete-flow.html +++ b/api/delete-flow.html @@ -21,7 +21,7 @@ - + diff --git a/api/delete-folder.html b/api/delete-folder.html index 064edc85ad..8a2f708b60 100644 --- a/api/delete-folder.html +++ b/api/delete-folder.html @@ -21,7 +21,7 @@ - + diff --git a/api/delete-messages-session.html b/api/delete-messages-session.html index 90bd856b90..2adfeb6187 100644 --- a/api/delete-messages-session.html +++ b/api/delete-messages-session.html @@ -21,7 +21,7 @@ - + diff --git a/api/delete-messages.html b/api/delete-messages.html index 2b7f7d4235..2571963136 100644 --- a/api/delete-messages.html +++ b/api/delete-messages.html @@ -21,7 +21,7 @@ - + diff --git a/api/delete-multiple-flows.html b/api/delete-multiple-flows.html index c806336d10..2ea02e4006 100644 --- a/api/delete-multiple-flows.html +++ b/api/delete-multiple-flows.html @@ -21,7 +21,7 @@ - + diff --git a/api/delete-user.html b/api/delete-user.html index 7465a3c106..9031aeaf3d 100644 --- a/api/delete-user.html +++ b/api/delete-user.html @@ -21,7 +21,7 @@ - + diff --git a/api/delete-variable.html b/api/delete-variable.html index f50fac65b8..51b0f33a9c 100644 --- a/api/delete-variable.html +++ b/api/delete-variable.html @@ -21,7 +21,7 @@ - + diff --git a/api/delete-vertex-builds.html b/api/delete-vertex-builds.html index 58fe2d759d..0fa8ee9836 100644 --- a/api/delete-vertex-builds.html +++ b/api/delete-vertex-builds.html @@ -21,7 +21,7 @@ - + diff --git a/api/download-component.html b/api/download-component.html index 85b6b4fa5e..b050c41b03 100644 --- a/api/download-component.html +++ b/api/download-component.html @@ -21,7 +21,7 @@ - + diff --git a/api/download-file-1.html b/api/download-file-1.html index 6e22967266..35e9ea8e6f 100644 --- a/api/download-file-1.html +++ b/api/download-file-1.html @@ -21,7 +21,7 @@ - + diff --git a/api/download-file-2.html b/api/download-file-2.html index a8af446a75..11f6cbdb8b 100644 --- a/api/download-file-2.html +++ b/api/download-file-2.html @@ -21,7 +21,7 @@ - + diff --git a/api/download-file.html b/api/download-file.html index 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+21,7 @@ - + diff --git a/api/get-elevenlabs-voice-ids.html b/api/get-elevenlabs-voice-ids.html index dccbdf1e91..0f815aa0f0 100644 --- a/api/get-elevenlabs-voice-ids.html +++ b/api/get-elevenlabs-voice-ids.html @@ -21,7 +21,7 @@ - + diff --git a/api/get-list-of-components-liked-by-user.html b/api/get-list-of-components-liked-by-user.html index 5c4dce2ca6..6ab0e468b8 100644 --- a/api/get-list-of-components-liked-by-user.html +++ b/api/get-list-of-components-liked-by-user.html @@ -21,7 +21,7 @@ - + diff --git a/api/get-messages.html b/api/get-messages.html index e362a646df..d1e6068060 100644 --- a/api/get-messages.html +++ b/api/get-messages.html @@ -21,7 +21,7 @@ - + diff --git a/api/get-starter-projects.html b/api/get-starter-projects.html index aef918fd76..6711bfd6dd 100644 --- a/api/get-starter-projects.html +++ b/api/get-starter-projects.html @@ -21,7 +21,7 @@ - + diff --git a/api/get-tags.html b/api/get-tags.html index 5b33177e35..3a2ebdef06 100644 --- a/api/get-tags.html +++ 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5a85c40f9d..8364390aa1 100644 --- a/api/logs.html +++ b/api/logs.html @@ -21,7 +21,7 @@ - + diff --git a/api/patch-user.html b/api/patch-user.html index 3a0f261e9d..a5482e2fc4 100644 --- a/api/patch-user.html +++ b/api/patch-user.html @@ -21,7 +21,7 @@ - + diff --git a/api/post-validate-code.html b/api/post-validate-code.html index 59e97ebdec..eb90c029c4 100644 --- a/api/post-validate-code.html +++ b/api/post-validate-code.html @@ -21,7 +21,7 @@ - + diff --git a/api/post-validate-prompt.html b/api/post-validate-prompt.html index ae6c604c69..c6f5332b6f 100644 --- a/api/post-validate-prompt.html +++ b/api/post-validate-prompt.html @@ -21,7 +21,7 @@ - + diff --git a/api/process-1.html b/api/process-1.html index 89263fc289..a302f231f0 100644 --- a/api/process-1.html +++ b/api/process-1.html @@ -21,7 +21,7 @@ - + diff --git a/api/process.html b/api/process.html index 5638c53a59..0d78a748dc 100644 --- a/api/process.html +++ b/api/process.html @@ -21,7 +21,7 @@ - + diff --git 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a/api/read-folder.html +++ b/api/read-folder.html @@ -21,7 +21,7 @@ - + diff --git a/api/read-folders.html b/api/read-folders.html index ff8654a8ad..ce50124428 100644 --- a/api/read-folders.html +++ b/api/read-folders.html @@ -21,7 +21,7 @@ - + diff --git a/api/read-public-flow.html b/api/read-public-flow.html index f94cd3bf2e..2888626d63 100644 --- a/api/read-public-flow.html +++ b/api/read-public-flow.html @@ -21,7 +21,7 @@ - + diff --git a/api/read-variables.html b/api/read-variables.html index 67efd97ea4..b984d3ca94 100644 --- a/api/read-variables.html +++ b/api/read-variables.html @@ -21,7 +21,7 @@ - + diff --git a/api/refresh-token.html b/api/refresh-token.html index 521a10e9aa..9e79eb817c 100644 --- a/api/refresh-token.html +++ b/api/refresh-token.html @@ -21,7 +21,7 @@ - + diff --git a/api/reset-password.html b/api/reset-password.html index cb22d3ac58..94a98b7880 100644 --- a/api/reset-password.html +++ b/api/reset-password.html @@ -21,7 +21,7 @@ - + diff --git a/api/retrieve-vertices-order.html b/api/retrieve-vertices-order.html index e973340ff0..fb08fdec31 100644 --- a/api/retrieve-vertices-order.html +++ b/api/retrieve-vertices-order.html @@ -21,7 +21,7 @@ - + diff --git a/api/save-store-api-key.html b/api/save-store-api-key.html index adea1bacf2..59b743b16c 100644 --- a/api/save-store-api-key.html +++ b/api/save-store-api-key.html @@ -21,7 +21,7 @@ - + diff --git a/api/share-component.html b/api/share-component.html index d0d7a21caf..772e0a60b4 100644 --- a/api/share-component.html +++ b/api/share-component.html @@ -21,7 +21,7 @@ - + diff --git a/api/simplified-run-flow.html b/api/simplified-run-flow.html index a7add05b09..b01e467834 100644 --- a/api/simplified-run-flow.html +++ b/api/simplified-run-flow.html @@ -21,7 +21,7 @@ - + diff --git a/api/stream-logs.html b/api/stream-logs.html index b04e83496c..657ed48071 100644 --- a/api/stream-logs.html +++ b/api/stream-logs.html @@ -21,7 +21,7 @@ - + diff --git a/api/update-flow.html b/api/update-flow.html index 0fd4967b42..3e979d5b30 100644 --- a/api/update-flow.html +++ b/api/update-flow.html @@ -21,7 +21,7 @@ - + diff --git a/api/update-folder.html b/api/update-folder.html index 981079e8bb..c4f50e0a4e 100644 --- a/api/update-folder.html +++ b/api/update-folder.html @@ -21,7 +21,7 @@ - + diff --git a/api/update-message.html b/api/update-message.html index 227ec1e4f4..5fb267ae57 100644 --- a/api/update-message.html +++ b/api/update-message.html @@ -21,7 +21,7 @@ - + diff --git a/api/update-session-id.html b/api/update-session-id.html index d25720f1f6..551631c4e6 100644 --- a/api/update-session-id.html +++ b/api/update-session-id.html @@ -21,7 +21,7 @@ - + diff --git a/api/update-shared-component.html b/api/update-shared-component.html index 8960fb8888..2b9bb03e00 100644 --- a/api/update-shared-component.html +++ b/api/update-shared-component.html @@ -21,7 +21,7 @@ - + diff --git a/api/update-variable.html b/api/update-variable.html index 0b898a2604..82b30bba54 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",(0,s.jsx)(n.a,{href:"https://langfuse.com/self-hosting",children:"self-hosted Langfuse"})," account"]}),"\n"]}),"\n",(0,s.jsx)(n.h2,{id:"set-langfuse-credentials-as-environment-variables",children:"Set Langfuse credentials as environment variables"}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["In Langfuse, go to ",(0,s.jsx)(n.strong,{children:"Project Settings"}),", and then create a new set of API keys."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsx)(n.p,{children:"Copy the following API key information:"}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsx)(n.li,{children:"Secret Key"}),"\n",(0,s.jsx)(n.li,{children:"Public Key"}),"\n",(0,s.jsx)(n.li,{children:"Host URL"}),"\n"]}),"\n",(0,s.jsxs)(n.ol,{start:"3",children:["\n",(0,s.jsx)(n.li,{children:"Set your Langfuse project credentials as environment variables in the same environment where you run Langflow."}),"\n"]}),"\n",(0,s.jsxs)(n.p,{children:["The following examples set environment variables in a Linux or macOS terminal session or in a Windows command prompt session:\nReplace ",(0,s.jsx)(n.code,{children:"SECRET_KEY"}),", ",(0,s.jsx)(n.code,{children:"PUBLIC_KEY"}),", and ",(0,s.jsx)(n.code,{children:"HOST_URL"})," with the API key information you copied from Langfuse."]}),"\n",(0,s.jsxs)(a.A,{children:[(0,s.jsx)(c.A,{value:"linux-macos",label:"Linux or macOS",default:!0,children:(0,s.jsx)(p.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"export LANGFUSE_SECRET_KEY=SECRET_KEY",props:{}}]},{tokens:[{content:"export LANGFUSE_PUBLIC_KEY=PUBLIC_KEY",props:{}}]},{tokens:[{content:"export LANGFUSE_HOST=HOST_URL",props:{}}]}],lang:"text"},annotations:[]}]})}),(0,s.jsx)(c.A,{value:"windows",label:"Windows",default:!0,children:(0,s.jsx)(p.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"set LANGFUSE_SECRET_KEY=SECRET_KEY",props:{}}]},{tokens:[{content:"set LANGFUSE_PUBLIC_KEY=PUBLIC_KEY",props:{}}]},{tokens:[{content:"set LANGFUSE_HOST=HOST_URL",props:{}}]}],lang:"text"},annotations:[]}]})})]}),"\n",(0,s.jsx)(n.h2,{id:"start-langflow-and-view-traces-in-langfuse",children:"Start Langflow and view traces in Langfuse"}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsx)(n.li,{children:"Start Langflow in the same terminal or environment where you set the environment variables:"}),"\n"]}),"\n",(0,s.jsx)(p.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"uv ",props:{style:{color:"#FFA657"}}},{content:"run langflow run",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(n.ol,{start:"2",children:["\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsx)(n.p,{children:"In Langflow, open an existing project, and then run a flow."}),"\n",(0,s.jsx)(n.p,{children:"Langflow automatically collects and sends tracing data about the flow execution to Langfuse."}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsx)(n.p,{children:"View the collected data in your Langfuse project dashboard."}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:(0,s.jsx)(n.img,{src:"https://langfuse.com//images/blog/langflow-langfuse/langflow-example-trace.png",alt:"Example trace in Langfuse"})}),"\n",(0,s.jsxs)(n.p,{children:["For a live public example trace in a Langfuse dashboard, see ",(0,s.jsx)(n.a,{href:"https://cloud.langfuse.com/project/cm0nywmaa005c3ol2msoisiho/traces/f016ae6d-4527-43f5-93ba-9d78388cd3d9?timestamp=2024-11-15T10%3A22%3A56.378Z&observation=c3680212-31f0-46e2-9310-add4352e4cc7",children:"Public example trace in Langfuse"}),"."]}),"\n",(0,s.jsx)(n.h2,{id:"disable-langfuse-tracing",children:"Disable Langfuse Tracing"}),"\n",(0,s.jsx)(n.p,{children:"To disable the Langfuse integration, remove the environment variables you set in the previous steps and restart Langflow."}),"\n",(0,s.jsx)(n.h2,{id:"run-langfuse-and-langflow-with-docker-compose",children:"Run Langfuse and Langflow with Docker Compose"}),"\n",(0,s.jsx)(n.p,{children:"If you prefer to self-host Langfuse, you can run both services with Docker Compose."}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["In Langfuse, go to ",(0,s.jsx)(n.strong,{children:"Project Settings"}),", and then create a new set of API keys."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsx)(n.p,{children:"Copy the following API key information:"}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsx)(n.li,{children:"Secret Key"}),"\n",(0,s.jsx)(n.li,{children:"Public Key"}),"\n",(0,s.jsx)(n.li,{children:"Host URL"}),"\n"]}),"\n",(0,s.jsxs)(n.ol,{start:"3",children:["\n",(0,s.jsxs)(n.li,{children:["Add your Langflow API keys to your ",(0,s.jsx)(n.code,{children:"docker-compose.yml"})," file.\nAn example ",(0,s.jsx)(n.a,{href:"https://github.com/langflow-ai/langflow/blob/main/docker_example/docker-compose.yml",children:"docker-compose.yml"})," file is available in the Langflow GitHub repo."]}),"\n"]}),"\n",(0,s.jsx)(p.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"services",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" langflow",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" image",props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"langflowai/langflow:latest ",props:{style:{color:"#A5D6FF"}}},{content:"# or another version tag on https://hub.docker.com/r/langflowai/langflow",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:" pull_policy",props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"always ",props:{style:{color:"#A5D6FF"}}},{content:"# set to 'always' when using 'latest' image",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:" ports",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" - ",props:{style:{color:"#C9D1D9"}}},{content:'"7860:7860"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" depends_on",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" - ",props:{style:{color:"#C9D1D9"}}},{content:"postgres",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" environment",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" - ",props:{style:{color:"#C9D1D9"}}},{content:"LANGFLOW_DATABASE_URL=postgresql://langflow:langflow@postgres:5432/langflow",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" # This variable defines where the logs, file storage, monitor data and secret keys are stored.",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:" - ",props:{style:{color:"#C9D1D9"}}},{content:"LANGFLOW_CONFIG_DIR=app/langflow",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" - ",props:{style:{color:"#C9D1D9"}}},{content:"LANGFUSE_SECRET_KEY=sk-...",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" - ",props:{style:{color:"#C9D1D9"}}},{content:"LANGFUSE_PUBLIC_KEY=pk-...",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" - ",props:{style:{color:"#C9D1D9"}}},{content:"LANGFUSE_HOST=https://us.cloud.langfuse.com",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" volumes",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" - ",props:{style:{color:"#C9D1D9"}}},{content:"langflow-data:/app/langflow",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" postgres",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" image",props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"postgres:16",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" environment",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" POSTGRES_USER",props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"langflow",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" POSTGRES_PASSWORD",props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"langflow",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" POSTGRES_DB",props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"langflow",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" ports",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" - ",props:{style:{color:"#C9D1D9"}}},{content:'"5432:5432"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" volumes",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" - ",props:{style:{color:"#C9D1D9"}}},{content:"langflow-postgres:/var/lib/postgresql/data",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"volumes",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" langflow-postgres",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" langflow-data",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]}],lang:"yml"},annotations:[]}]}),"\n",(0,s.jsxs)(n.ol,{start:"4",children:["\n",(0,s.jsx)(n.li,{children:"Start the Docker container."}),"\n"]}),"\n",(0,s.jsx)(p.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"docker-compose up",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,s.jsxs)(n.ol,{start:"5",children:["\n",(0,s.jsxs)(n.li,{children:["To confirm Langfuse is connected to your Langflow container, run this command.\nEnsure you've exported ",(0,s.jsx)(n.code,{children:"LANGFLOW_HOST"})," as a variable in your terminal."]}),"\n"]}),"\n",(0,s.jsx)(p.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"docker ",props:{style:{color:"#FFA657"}}},{content:"compose exec langflow python ",props:{style:{color:"#A5D6FF"}}},{content:"-c ",props:{style:{color:"#79C0FF"}}},{content:"\"import requests, os; addr = os.environ.get('LANGFUSE_HOST'); print(addr); res = requests.get(addr, timeout=5); print(res.status_code)\"",props:{style:{color:"#A5D6FF"}}}]}],lang:"sh"},annotations:[]}]}),"\n",(0,s.jsx)(n.p,{children:"An output similar to this indicates success:"}),"\n",(0,s.jsx)(p.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"https://us.cloud.langfuse.com",props:{}}]},{tokens:[{content:"200",props:{}}]}],lang:"text"},annotations:[]}]})]})}function m(e={}){const{wrapper:n}={...(0,r.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(f,{...e})}):f(e)}function y(e,n){throw new Error("Expected "+(n?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}}}]); \ No newline at end of file diff --git a/assets/js/e6c6a4d2.0be77287.js b/assets/js/e6c6a4d2.964336ad.js similarity index 55% rename from assets/js/e6c6a4d2.0be77287.js rename to assets/js/e6c6a4d2.964336ad.js index 5d048b6c19..7469fd3e20 100644 --- a/assets/js/e6c6a4d2.0be77287.js +++ b/assets/js/e6c6a4d2.964336ad.js @@ -1 +1 @@ -"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[8504],{28453:(e,t,n)=>{n.d(t,{R:()=>a,x:()=>l});var s=n(96540);const i={},o=s.createContext(i);function a(e){const t=s.useContext(o);return s.useMemo((function(){return"function"==typeof e?e(t):{...t,...e}}),[t,e])}function l(e){let t;return t=e.disableParentContext?"function"==typeof e.components?e.components(i):e.components||i:a(e.components),s.createElement(o.Provider,{value:t},e.children)}},94910:(e,t,n)=>{n.r(t),n.d(t,{contentTitle:()=>l,default:()=>d,frontMatter:()=>a,metadata:()=>s,toc:()=>r});const s=JSON.parse('{"type":"api","id":"experimental-run-flow","title":"Experimental Run Flow","description":"","slug":"/experimental-run-flow","frontMatter":{},"api":{"tags":["Base"],"description":"Executes a specified flow by ID with optional input values, output selection, tweaks, and streaming capability.\\n\\nThis endpoint supports running flows with caching to enhance performance and efficiency.\\n\\n### Parameters:\\n- `flow_id` (str): The unique identifier of the flow to be executed.\\n- `inputs` (List[InputValueRequest], optional): A list of inputs specifying the input values and components\\n for the flow. Each input can target specific components and provide custom values.\\n- `outputs` (List[str], optional): A list of output names to retrieve from the executed flow.\\n If not provided, all outputs are returned.\\n- `tweaks` (Optional[Tweaks], optional): A dictionary of tweaks to customize the flow execution.\\n The tweaks can be used to modify the flow\'s parameters and components.\\n Tweaks can be overridden by the input values.\\n- `stream` (bool, optional): Specifies whether the results should be streamed. Defaults to False.\\n- `session_id` (Union[None, str], optional): An optional session ID to utilize existing session data for the flow\\n execution.\\n- `api_key_user` (User): The user associated with the current API key. Automatically resolved from the API key.\\n\\n### Returns:\\nA `RunResponse` object containing the selected outputs (or all if not specified) of the executed flow\\nand the session ID.\\nThe structure of the response accommodates multiple inputs, providing a nested list of outputs for each input.\\n\\n### Raises:\\nHTTPException: Indicates issues with finding the specified flow, invalid input formats, or internal errors during\\nflow execution.\\n\\n### Example usage:\\n```json\\nPOST /run/flow_id\\nx-api-key: YOUR_API_KEY\\nPayload:\\n{\\n \\"inputs\\": [\\n {\\"components\\": [\\"component1\\"], \\"input_value\\": \\"value1\\"},\\n {\\"components\\": [\\"component3\\"], \\"input_value\\": \\"value2\\"}\\n ],\\n \\"outputs\\": [\\"Component Name\\", \\"component_id\\"],\\n \\"tweaks\\": {\\"parameter_name\\": \\"value\\", \\"Component Name\\": {\\"parameter_name\\": \\"value\\"}, \\"component_id\\": {\\"parameter_name\\": \\"value\\"}}\\n \\"stream\\": false\\n}\\n```\\n\\nThis endpoint facilitates complex flow executions with customized inputs, outputs, and configurations,\\ncatering to diverse application requirements.","operationId":"experimental_run_flow_api_v1_run_advanced__flow_id__post","security":[{"API key query":[]},{"API key header":[]}],"parameters":[{"name":"flow_id","in":"path","required":true,"schema":{"type":"string","format":"uuid","title":"Flow Id"}}],"requestBody":{"content":{"application/json":{"schema":{"properties":{"inputs":{"anyOf":[{"items":{"properties":{"components":{"anyOf":[{"items":{"type":"string"},"type":"array"},{"type":"null"}],"title":"Components","default":[]},"input_value":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"Input Value"},"session":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"Session"},"type":{"anyOf":[{"type":"string","enum":["chat","text","any"]},{"type":"null"}],"title":"Type","description":"Defines on which components the input value should be applied. \'any\' applies to all input components.","default":"any"}},"additionalProperties":false,"type":"object","title":"InputValueRequest","examples":[{"components":["components_id","Component Name"],"input_value":"input_value","session":"session_id"},{"components":["Component Name"],"input_value":"input_value"},{"input_value":"input_value"},{"components":["Component Name"],"input_value":"input_value","session":"session_id"},{"input_value":"input_value","session":"session_id"},{"input_value":"input_value","type":"chat"},{"input_value":"{\\"key\\": \\"value\\"}","type":"json"}]},"type":"array"},{"type":"null"}],"title":"Inputs"},"outputs":{"anyOf":[{"items":{"type":"string"},"type":"array"},{"type":"null"}],"title":"Outputs"},"tweaks":{"anyOf":[{"additionalProperties":{"anyOf":[{"type":"string"},{"type":"object"}]},"type":"object","title":"Tweaks","description":"A dictionary of tweaks to adjust the flow\'s execution. 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Atlas",id:"mongodb-atlas",level:2},{value:"Inputs",id:"inputs-12",level:3},{value:"Outputs",id:"outputs-12",level:3},{value:"Opensearch",id:"opensearch",level:2},{value:"Inputs",id:"inputs-13",level:3},{value:"Outputs",id:"outputs-13",level:3},{value:"PGVector",id:"pgvector",level:2},{value:"Inputs",id:"inputs-14",level:3},{value:"Outputs",id:"outputs-14",level:3},{value:"Pinecone",id:"pinecone",level:2},{value:"Inputs",id:"inputs-15",level:3},{value:"Outputs",id:"outputs-15",level:3},{value:"Qdrant",id:"qdrant",level:2},{value:"Inputs",id:"inputs-16",level:3},{value:"Outputs",id:"outputs-16",level:3},{value:"Redis",id:"redis",level:2},{value:"Inputs",id:"inputs-17",level:3},{value:"Outputs",id:"outputs-17",level:3},{value:"Supabase",id:"supabase",level:2},{value:"Inputs",id:"inputs-18",level:3},{value:"Outputs",id:"outputs-18",level:3},{value:"Upstash",id:"upstash",level:2},{value:"Inputs",id:"inputs-19",level:3},{value:"Outputs",id:"outputs-19",level:3},{value:"Vectara",id:"vectara",level:2},{value:"Inputs",id:"inputs-20",level:3},{value:"Outputs",id:"outputs-20",level:3},{value:"Vectara Search",id:"vectara-search",level:2},{value:"Inputs",id:"inputs-21",level:3},{value:"Outputs",id:"outputs-21",level:3},{value:"Weaviate",id:"weaviate",level:2},{value:"Inputs",id:"inputs-22",level:3},{value:"Outputs",id:"outputs-22",level:3},{value:"Weaviate Search",id:"weaviate-search",level:2},{value:"Inputs",id:"inputs-23",level:3},{value:"Outputs",id:"outputs-23",level:3}];function u(e){const t={a:"a",admonition:"admonition",code:"code",h1:"h1",h2:"h2",h3:"h3",header:"header",img:"img",li:"li",ol:"ol",p:"p",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,n.R)(),...e.components};return o||m("CH",!1),o.Code||m("CH.Code",!0),(0,d.jsxs)(d.Fragment,{children:[(0,d.jsx)("style",{dangerouslySetInnerHTML:{__html:'[data-ch-theme="github-dark"] { --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: 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}'}}),"\n","\n",(0,d.jsx)(t.header,{children:(0,d.jsx)(t.h1,{id:"vector-store-components-in-langflow",children:"Vector store components in Langflow"})}),"\n",(0,d.jsx)(t.p,{children:"Vector databases store vector data, which backs AI workloads like chatbots and Retrieval Augmented Generation."}),"\n",(0,d.jsx)(t.p,{children:"Vector database components establish connections to existing vector databases or create in-memory vector stores for storing and retrieving vector data."}),"\n",(0,d.jsxs)(t.p,{children:["Vector database components are distinct from ",(0,d.jsx)(t.a,{href:"/components-memories",children:"memory components"}),", which are built specifically for storing and retrieving chat messages from external databases."]}),"\n",(0,d.jsx)(t.h2,{id:"use-a-vector-store-component-in-a-flow",children:"Use a vector store component in a flow"}),"\n",(0,d.jsxs)(t.p,{children:["This example uses the ",(0,d.jsx)(t.strong,{children:"Astra DB vector store"})," component. Your vector store component's parameters and authentication may be different, but the document ingestion workflow is the same. A document is loaded from a local machine and chunked. The Astra DB vector store generates embeddings with the connected ",(0,d.jsx)(t.a,{href:"/components-models",children:"model"})," component, and stores them in the connected Astra DB database."]}),"\n",(0,d.jsx)(t.p,{children:"This vector data can then be retrieved for workloads like Retrieval Augmented Generation."}),"\n",(0,d.jsx)(t.p,{children:(0,d.jsx)(t.img,{src:r(67719).A+"",width:"2894",height:"1014"})}),"\n",(0,d.jsxs)(t.p,{children:["The user's chat input is embedded and compared to the vectors embedded during document ingestion for a similarity search.\nThe results are output from the vector database component as a ",(0,d.jsx)(t.a,{href:"/concepts-objects",children:"Data"})," object and parsed into text.\nThis text fills the ",(0,d.jsx)(t.code,{children:"{context}"})," variable in the ",(0,d.jsx)(t.strong,{children:"Prompt"})," component, which informs the ",(0,d.jsx)(t.strong,{children:"Open AI model"})," component's responses."]}),"\n",(0,d.jsxs)(t.p,{children:["Alternatively, connect the vector database component's ",(0,d.jsx)(t.strong,{children:"Retriever"})," port to a ",(0,d.jsx)(t.a,{href:"components-tools#retriever-tool",children:"retriever tool"}),", and then to an ",(0,d.jsx)(t.a,{href:"/components-agents",children:"agent"})," component. This enables the agent to use your vector database as a tool and make decisions based on the available data."]}),"\n",(0,d.jsx)(t.p,{children:(0,d.jsx)(t.img,{src:r(59072).A+"",width:"2414",height:"1602"})}),"\n",(0,d.jsx)(t.h2,{id:"astra-db-vector-store",children:"Astra DB Vector Store"}),"\n",(0,d.jsx)(t.p,{children:"This component implements a Vector Store using Astra DB with search capabilities."}),"\n",(0,d.jsxs)(t.p,{children:["For more information, see the ",(0,d.jsx)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/create-database.html",children:"DataStax documentation"}),"."]}),"\n",(0,d.jsx)(t.h3,{id:"inputs",children:"Inputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"token"}),(0,d.jsx)(t.td,{children:"Astra DB Application Token"}),(0,d.jsx)(t.td,{children:"The authentication token for accessing Astra DB."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"environment"}),(0,d.jsx)(t.td,{children:"Environment"}),(0,d.jsxs)(t.td,{children:["The environment for the Astra DB API Endpoint. For example, ",(0,d.jsx)(t.code,{children:"dev"})," or ",(0,d.jsx)(t.code,{children:"prod"}),"."]})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"database_name"}),(0,d.jsx)(t.td,{children:"Database"}),(0,d.jsx)(t.td,{children:"The database name for the Astra DB instance."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"api_endpoint"}),(0,d.jsx)(t.td,{children:"Astra DB API Endpoint"}),(0,d.jsx)(t.td,{children:"The API endpoint for the Astra DB instance. This supersedes the database selection."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"collection_name"}),(0,d.jsx)(t.td,{children:"Collection"}),(0,d.jsx)(t.td,{children:"The name of the collection within Astra DB where the vectors are stored."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"keyspace"}),(0,d.jsx)(t.td,{children:"Keyspace"}),(0,d.jsx)(t.td,{children:"An optional keyspace within Astra DB to use for the collection."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"embedding_choice"}),(0,d.jsx)(t.td,{children:"Embedding Model or Astra Vectorize"}),(0,d.jsx)(t.td,{children:"Choose an embedding model or use Astra vectorize."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"embedding_model"}),(0,d.jsx)(t.td,{children:"Embedding Model"}),(0,d.jsx)(t.td,{children:"Specify the embedding model. Not required for Astra vectorize collections."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"number_of_results"}),(0,d.jsx)(t.td,{children:"Number of Search Results"}),(0,d.jsxs)(t.td,{children:["The number of search results to return (default: ",(0,d.jsx)(t.code,{children:"4"}),")."]})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"search_type"}),(0,d.jsx)(t.td,{children:"Search Type"}),(0,d.jsxs)(t.td,{children:["The search type to use. The options are ",(0,d.jsx)(t.code,{children:"Similarity"}),", ",(0,d.jsx)(t.code,{children:"Similarity with score threshold"}),", and ",(0,d.jsx)(t.code,{children:"MMR (Max Marginal Relevance)"}),"."]})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"search_score_threshold"}),(0,d.jsx)(t.td,{children:"Search Score Threshold"}),(0,d.jsxs)(t.td,{children:["The minimum similarity score threshold for search results when using the ",(0,d.jsx)(t.code,{children:"Similarity with score threshold"})," option."]})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"advanced_search_filter"}),(0,d.jsx)(t.td,{children:"Search Metadata Filter"}),(0,d.jsx)(t.td,{children:"An optional dictionary of filters to apply to the search query."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"autodetect_collection"}),(0,d.jsx)(t.td,{children:"Autodetect Collection"}),(0,d.jsx)(t.td,{children:"A boolean flag to determine whether to autodetect the collection."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"content_field"}),(0,d.jsx)(t.td,{children:"Content Field"}),(0,d.jsx)(t.td,{children:"A field to use as the text content field for the vector store."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"deletion_field"}),(0,d.jsx)(t.td,{children:"Deletion Based On Field"}),(0,d.jsx)(t.td,{children:"When provided, documents in the target collection with metadata field values matching the input metadata field value are deleted before new data is loaded."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"ignore_invalid_documents"}),(0,d.jsx)(t.td,{children:"Ignore Invalid Documents"}),(0,d.jsx)(t.td,{children:"A boolean flag to determine whether to ignore invalid documents at runtime."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"astradb_vectorstore_kwargs"}),(0,d.jsx)(t.td,{children:"AstraDBVectorStore Parameters"}),(0,d.jsx)(t.td,{children:"An optional dictionary of additional parameters for the AstraDBVectorStore."})]})]})]}),"\n",(0,d.jsx)(t.h3,{id:"outputs",children:"Outputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"vector_store"}),(0,d.jsx)(t.td,{children:"Vector Store"}),(0,d.jsx)(t.td,{children:"Astra DB vector store instance configured with the specified parameters."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"search_results"}),(0,d.jsx)(t.td,{children:"Search Results"}),(0,d.jsxs)(t.td,{children:["The results of the similarity search as a list of ",(0,d.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," objects."]})]})]})]}),"\n",(0,d.jsx)(t.h3,{id:"generate-embeddings",children:"Generate embeddings"}),"\n",(0,d.jsxs)(t.p,{children:["The ",(0,d.jsx)(t.strong,{children:"Astra DB Vector Store"})," component offers two methods for generating embeddings."]}),"\n",(0,d.jsxs)(t.ol,{children:["\n",(0,d.jsxs)(t.li,{children:["\n",(0,d.jsxs)(t.p,{children:[(0,d.jsx)(t.strong,{children:"Embedding Model"}),": Use your own embedding model by connecting an ",(0,d.jsx)(t.a,{href:"/components-embedding-models",children:"Embeddings"})," component in Langflow."]}),"\n"]}),"\n",(0,d.jsxs)(t.li,{children:["\n",(0,d.jsxs)(t.p,{children:[(0,d.jsx)(t.strong,{children:"Astra Vectorize"}),": Use Astra DB's built-in embedding generation service. When creating a new collection, choose the embeddings provider and models, including NVIDIA's ",(0,d.jsx)(t.code,{children:"NV-Embed-QA"})," model hosted by Datastax."]}),"\n"]}),"\n"]}),"\n",(0,d.jsx)(t.admonition,{type:"important",children:(0,d.jsx)(t.p,{children:"The embedding model selection is made when creating a new collection and cannot be changed later."})}),"\n",(0,d.jsxs)(t.p,{children:["For an example of using the ",(0,d.jsx)(t.strong,{children:"Astra DB Vector Store"})," component with an embedding model, see the ",(0,d.jsx)(t.a,{href:"/starter-projects-vector-store-rag",children:"Vector Store RAG starter project"}),"."]}),"\n",(0,d.jsxs)(t.p,{children:["For more information, see the ",(0,d.jsx)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/embedding-generation.html",children:"Astra DB Serverless documentation"}),"."]}),"\n",(0,d.jsx)(t.h3,{id:"hybrid-search",children:"Hybrid search"}),"\n",(0,d.jsxs)(t.p,{children:["The ",(0,d.jsx)(t.strong,{children:"Astra DB"})," component includes ",(0,d.jsx)(t.strong,{children:"hybrid search"}),", which is enabled by default."]}),"\n",(0,d.jsxs)(t.p,{children:["The component fields related to hybrid search are ",(0,d.jsx)(t.strong,{children:"Search Query"}),", ",(0,d.jsx)(t.strong,{children:"Lexical Terms"}),", and ",(0,d.jsx)(t.strong,{children:"Reranker"}),"."]}),"\n",(0,d.jsxs)(t.ul,{children:["\n",(0,d.jsxs)(t.li,{children:[(0,d.jsx)(t.strong,{children:"Search Query"})," finds results by vector similarity."]}),"\n",(0,d.jsxs)(t.li,{children:[(0,d.jsx)(t.strong,{children:"Lexical Terms"})," is a comma-separated string of keywords, like ",(0,d.jsx)(t.code,{children:"features, data, attributes, characteristics"}),"."]}),"\n",(0,d.jsxs)(t.li,{children:[(0,d.jsx)(t.strong,{children:"Reranker"})," is the re-ranker model used in the hybrid search.\nThe re-ranker model is ",(0,d.jsx)(t.code,{children:"nvidia/llama-3.2-nv.reranker"}),"."]}),"\n"]}),"\n",(0,d.jsxs)(t.p,{children:[(0,d.jsx)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/hybrid-search.html",children:"Hybrid search"})," performs a vector similarity search and a lexical search, compares the results of both searches, and then returns the most relevant results overall."]}),"\n",(0,d.jsxs)(t.p,{children:["To use ",(0,d.jsx)(t.strong,{children:"Hybrid search"})," in the ",(0,d.jsx)(t.strong,{children:"Astra DB"})," component, do the following:"]}),"\n",(0,d.jsxs)(t.ol,{children:["\n",(0,d.jsxs)(t.li,{children:["Click ",(0,d.jsx)(t.strong,{children:"New Flow"})," > ",(0,d.jsx)(t.strong,{children:"RAG"})," > ",(0,d.jsx)(t.strong,{children:"Hybrid Search RAG"}),"."]}),"\n",(0,d.jsxs)(t.li,{children:["In the ",(0,d.jsx)(t.strong,{children:"OpenAI"})," model component, add your ",(0,d.jsx)(t.strong,{children:"OpenAI API key"}),"."]}),"\n",(0,d.jsxs)(t.li,{children:["In the ",(0,d.jsx)(t.strong,{children:"Astra DB"})," vector store component, add your ",(0,d.jsx)(t.strong,{children:"Astra DB Application Token"}),"."]}),"\n",(0,d.jsxs)(t.li,{children:["In the ",(0,d.jsx)(t.strong,{children:"Database"})," field, select your database."]}),"\n",(0,d.jsxs)(t.li,{children:["In the ",(0,d.jsx)(t.strong,{children:"Collection"})," field, select the collection you want to search.\nYou must enable support for hybrid search when you create the collection."]}),"\n",(0,d.jsxs)(t.li,{children:["In the ",(0,d.jsx)(t.strong,{children:"Playground"}),", enter a question about your data, such as ",(0,d.jsx)(t.code,{children:"What are the features of my data?"}),"\nYour query is sent to two components: an ",(0,d.jsx)(t.strong,{children:"OpenAI"})," model component and the ",(0,d.jsx)(t.strong,{children:"Astra DB"})," vector database component.\nThe ",(0,d.jsx)(t.strong,{children:"OpenAI"})," component contains a prompt for creating the lexical query from your input:"]}),"\n"]}),"\n",(0,d.jsx)(o.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"You are a database query planner that takes a user's requests, and then converts to a search against the subject matter in question.",props:{}}]},{tokens:[{content:"You should convert the query into:",props:{}}]},{tokens:[{content:"1. A list of keywords to use against a Lucene text analyzer index, no more than 4. Strictly unigrams.",props:{}}]},{tokens:[{content:"2. A question to use as the basis for a QA embedding engine.",props:{}}]},{tokens:[{content:"Avoid common keywords associated with the user's subject matter.",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,d.jsxs)(t.ol,{start:"7",children:["\n",(0,d.jsxs)(t.li,{children:["To view the keywords and questions the ",(0,d.jsx)(t.strong,{children:"OpenAI"})," component generates from your collection, in the ",(0,d.jsx)(t.strong,{children:"OpenAI"})," component, click ",(0,d.jsx)(c.A,{name:"TextSearch","aria-label":"Inspect icon"}),"."]}),"\n"]}),"\n",(0,d.jsx)(o.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"1. Keywords: features, data, attributes, characteristics",props:{}}]},{tokens:[{content:"2. Question: What characteristics can be identified in my data?",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,d.jsxs)(t.ol,{start:"8",children:["\n",(0,d.jsxs)(t.li,{children:["\n",(0,d.jsxs)(t.p,{children:["To view the ",(0,d.jsx)(t.a,{href:"/concepts-objects#dataframe-object",children:"DataFrame"})," generated from the ",(0,d.jsx)(t.strong,{children:"OpenAI"})," component's response, in the ",(0,d.jsx)(t.strong,{children:"Structured Output"})," component, click ",(0,d.jsx)(c.A,{name:"TextSearch","aria-label":"Inspect icon"}),".\nThe DataFrame is passed to a ",(0,d.jsx)(t.strong,{children:"Parser"})," component, which parses the contents of the ",(0,d.jsx)(t.strong,{children:"Keywords"})," column into a string."]}),"\n",(0,d.jsxs)(t.p,{children:["This string of comma-separated words is passed to the ",(0,d.jsx)(t.strong,{children:"Lexical Terms"})," port of the ",(0,d.jsx)(t.strong,{children:"Astra DB"})," component.\nNote that the ",(0,d.jsx)(t.strong,{children:"Search Query"})," port of the Astra DB port is connected to the ",(0,d.jsx)(t.strong,{children:"Chat Input"})," component from step 6.\nThis ",(0,d.jsx)(t.strong,{children:"Search Query"})," is vectorized, and both the ",(0,d.jsx)(t.strong,{children:"Search Query"})," and ",(0,d.jsx)(t.strong,{children:"Lexical Terms"})," content are sent to the reranker at the ",(0,d.jsx)(t.code,{children:"find_and_rerank"})," endpoint."]}),"\n",(0,d.jsxs)(t.p,{children:["The reranker compares the vector search results against the string of terms from the lexical search.\nThe highest-ranked results of your hybrid search are returned to the ",(0,d.jsx)(t.strong,{children:"Playground"}),"."]}),"\n"]}),"\n"]}),"\n",(0,d.jsxs)(t.p,{children:["For more information, see the ",(0,d.jsx)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/hybrid-search.html",children:"DataStax documentation"}),"."]}),"\n",(0,d.jsx)(t.h2,{id:"astradb-graph-vector-store",children:"AstraDB Graph vector 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documentation"}),"."]}),"\n",(0,d.jsx)(t.h3,{id:"inputs-6",children:"Inputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Type"}),(0,d.jsx)(t.th,{children:"Description"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"couchbase_connection_string"}),(0,d.jsx)(t.td,{children:"SecretString"}),(0,d.jsx)(t.td,{children:"Couchbase Cluster connection string (required)."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"couchbase_username"}),(0,d.jsx)(t.td,{children:"String"}),(0,d.jsx)(t.td,{children:"Couchbase username (required)."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"couchbase_password"}),(0,d.jsx)(t.td,{children:"SecretString"}),(0,d.jsx)(t.td,{children:"Couchbase password 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Default: 4 (advanced)."})]})]})]}),"\n",(0,d.jsx)(t.h3,{id:"outputs-6",children:"Outputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Type"}),(0,d.jsx)(t.th,{children:"Description"})]})}),(0,d.jsx)(t.tbody,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"vector_store"}),(0,d.jsx)(t.td,{children:"CouchbaseVectorStore"}),(0,d.jsx)(t.td,{children:"A Couchbase vector store instance configured with the specified parameters."})]})})]}),"\n",(0,d.jsx)(t.h2,{id:"elasticsearch",children:"Elasticsearch"}),"\n",(0,d.jsxs)(t.p,{children:["This component creates an Elasticsearch Vector Store with search capabilities.\nFor more information, see the ",(0,d.jsx)(t.a,{href:"https://www.elastic.co/guide/en/elasticsearch/reference/current/dense-vector.html",children:"Elasticsearch documentation"}),"."]}),"\n",(0,d.jsx)(t.h3,{id:"inputs-7",children:"Inputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Type"}),(0,d.jsx)(t.th,{children:"Description"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"es_url"}),(0,d.jsx)(t.td,{children:"String"}),(0,d.jsx)(t.td,{children:"Elasticsearch server URL"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"es_user"}),(0,d.jsx)(t.td,{children:"String"}),(0,d.jsx)(t.td,{children:"Username for Elasticsearch authentication"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"es_password"}),(0,d.jsx)(t.td,{children:"SecretString"}),(0,d.jsx)(t.td,{children:"Password for Elasticsearch authentication"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"index_name"}),(0,d.jsx)(t.td,{children:"String"}),(0,d.jsx)(t.td,{children:"Name of the Elasticsearch index"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"strategy"}),(0,d.jsx)(t.td,{children:"String"}),(0,d.jsx)(t.td,{children:'Strategy for vector search ("approximate_k_nearest_neighbors" or "script_scoring")'})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"distance_strategy"}),(0,d.jsx)(t.td,{children:"String"}),(0,d.jsx)(t.td,{children:'Strategy for distance calculation ("COSINE", "EUCLIDEAN_DISTANCE", "DOT_PRODUCT")'})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"search_query"}),(0,d.jsx)(t.td,{children:"String"}),(0,d.jsx)(t.td,{children:"Query for similarity search"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"ingest_data"}),(0,d.jsx)(t.td,{children:"Data"}),(0,d.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"embedding"}),(0,d.jsx)(t.td,{children:"Embeddings"}),(0,d.jsx)(t.td,{children:"Embedding function to use"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"number_of_results"}),(0,d.jsx)(t.td,{children:"Integer"}),(0,d.jsx)(t.td,{children:"Number of results to return in search (default: 4)"})]})]})]}),"\n",(0,d.jsx)(t.h3,{id:"outputs-7",children:"Outputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Type"}),(0,d.jsx)(t.th,{children:"Description"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"vector_store"}),(0,d.jsx)(t.td,{children:"ElasticsearchStore"}),(0,d.jsx)(t.td,{children:"Elasticsearch vector store instance"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"search_results"}),(0,d.jsx)(t.td,{children:"List[Data]"}),(0,d.jsx)(t.td,{children:"Results of similarity search"})]})]})]}),"\n",(0,d.jsx)(t.h2,{id:"faiss",children:"FAISS"}),"\n",(0,d.jsxs)(t.p,{children:["This component creates a FAISS Vector Store with search capabilities.\nFor more information, see the ",(0,d.jsx)(t.a,{href:"https://faiss.ai/index.html",children:"FAISS documentation"}),"."]}),"\n",(0,d.jsx)(t.h3,{id:"inputs-8",children:"Inputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Type"}),(0,d.jsx)(t.th,{children:"Description"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"index_name"}),(0,d.jsx)(t.td,{children:"String"}),(0,d.jsx)(t.td,{children:'The name of the FAISS index. 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This is not required for collections embedded with ",(0,d.jsx)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/embedding-generation.html",children:"Astra vectorize"}),"."]})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"vector_store"}),(0,d.jsx)(t.td,{children:"Vector Store Connection"}),(0,d.jsx)(t.td,{children:"Connection to the vector store."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"edge_definition"}),(0,d.jsx)(t.td,{children:"Edge Definition"}),(0,d.jsxs)(t.td,{children:["Edge definition for the graph traversal. For more information, see the ",(0,d.jsx)(t.a,{href:"https://datastax.github.io/graph-rag/reference/graph_retriever/edges/",children:"GraphRAG documentation"}),"."]})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"strategy"}),(0,d.jsx)(t.td,{children:"Traversal Strategies"}),(0,d.jsx)(t.td,{children:"The strategy to use for graph traversal. 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For more information, see the ",(0,d.jsx)(t.a,{href:"https://datastax.github.io/graph-rag/reference/graph_retriever/strategies/",children:"strategy documentation"}),"."]})]})]})]}),"\n",(0,d.jsx)(t.h3,{id:"outputs-9",children:"Outputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Type"}),(0,d.jsx)(t.th,{children:"Description"})]})}),(0,d.jsx)(t.tbody,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"search_results"}),(0,d.jsx)(t.td,{children:"List[Data]"}),(0,d.jsxs)(t.td,{children:["Results of the graph-based document retrieval as a list of ",(0,d.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," objects."]})]})})]}),"\n",(0,d.jsx)(t.h2,{id:"hyper-converged-database-hcd-vector-store",children:"Hyper-Converged Database (HCD) Vector Store"}),"\n",(0,d.jsx)(t.p,{children:"This component implements a Vector Store using HCD."}),"\n",(0,d.jsxs)(t.p,{children:["To use the HCD vector store, add your deployment's collection name, username, password, and HCD Data API endpoint.\nThe endpoint must be formatted like ",(0,d.jsx)(t.code,{children:"http[s]://**DOMAIN_NAME** or **IP_ADDRESS**[:port]"}),", for example, ",(0,d.jsx)(t.code,{children:"http://192.0.2.250:8181"}),"."]}),"\n",(0,d.jsxs)(t.p,{children:["Replace ",(0,d.jsx)(t.strong,{children:"DOMAIN_NAME"})," or ",(0,d.jsx)(t.strong,{children:"IP_ADDRESS"})," with the domain name or IP address of your HCD Data API connection."]}),"\n",(0,d.jsx)(t.p,{children:"To use the HCD vector store for embeddings ingestion, connect it to an embeddings model and a file loader:"}),"\n",(0,d.jsx)(t.p,{children:(0,d.jsx)(t.img,{alt:"HCD vector store embeddings ingestion",src:r(42638).A+"",width:"2294",height:"1684"})}),"\n",(0,d.jsx)(t.h3,{id:"inputs-10",children:"Inputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"collection_name"}),(0,d.jsx)(t.td,{children:"Collection Name"}),(0,d.jsx)(t.td,{children:"The name of the collection within HCD where the vectors will be stored (required)"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"username"}),(0,d.jsx)(t.td,{children:"HCD Username"}),(0,d.jsx)(t.td,{children:'Authentication username for accessing HCD (default: "hcd-superuser", required)'})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"password"}),(0,d.jsx)(t.td,{children:"HCD Password"}),(0,d.jsx)(t.td,{children:"Authentication password for accessing HCD 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Not required for Astra vectorize collections."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"number_of_results"}),(0,d.jsx)(t.td,{children:"Number of Search Results"}),(0,d.jsxs)(t.td,{children:["The number of search results to return (default: ",(0,d.jsx)(t.code,{children:"4"}),")."]})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"search_type"}),(0,d.jsx)(t.td,{children:"Search Type"}),(0,d.jsxs)(t.td,{children:["The search type to use. The options are ",(0,d.jsx)(t.code,{children:"Similarity"}),", ",(0,d.jsx)(t.code,{children:"Similarity with score threshold"}),", and ",(0,d.jsx)(t.code,{children:"MMR (Max Marginal Relevance)"}),"."]})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"search_score_threshold"}),(0,d.jsx)(t.td,{children:"Search Score Threshold"}),(0,d.jsxs)(t.td,{children:["The minimum similarity score threshold for search results when using the ",(0,d.jsx)(t.code,{children:"Similarity with score threshold"})," option."]})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"advanced_search_filter"}),(0,d.jsx)(t.td,{children:"Search Metadata Filter"}),(0,d.jsx)(t.td,{children:"An optional dictionary of filters to apply to the search query."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"autodetect_collection"}),(0,d.jsx)(t.td,{children:"Autodetect Collection"}),(0,d.jsx)(t.td,{children:"A boolean flag to determine whether to autodetect the collection."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"content_field"}),(0,d.jsx)(t.td,{children:"Content Field"}),(0,d.jsx)(t.td,{children:"A field to use as the text content field for the vector store."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"deletion_field"}),(0,d.jsx)(t.td,{children:"Deletion Based On Field"}),(0,d.jsx)(t.td,{children:"When provided, documents in the target collection with metadata field values matching the input metadata field value are deleted before new data is loaded."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"ignore_invalid_documents"}),(0,d.jsx)(t.td,{children:"Ignore Invalid Documents"}),(0,d.jsx)(t.td,{children:"A boolean flag to determine whether to ignore invalid documents at runtime."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"astradb_vectorstore_kwargs"}),(0,d.jsx)(t.td,{children:"AstraDBVectorStore Parameters"}),(0,d.jsx)(t.td,{children:"An optional dictionary of additional parameters for the AstraDBVectorStore."})]})]})]}),"\n",(0,d.jsx)(t.h3,{id:"outputs",children:"Outputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"vector_store"}),(0,d.jsx)(t.td,{children:"Vector Store"}),(0,d.jsx)(t.td,{children:"Astra DB vector store instance configured with the specified parameters."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"search_results"}),(0,d.jsx)(t.td,{children:"Search Results"}),(0,d.jsxs)(t.td,{children:["The results of the similarity search as a list of ",(0,d.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," objects."]})]})]})]}),"\n",(0,d.jsx)(t.h3,{id:"generate-embeddings",children:"Generate embeddings"}),"\n",(0,d.jsxs)(t.p,{children:["The ",(0,d.jsx)(t.strong,{children:"Astra DB Vector Store"})," component offers two methods for generating embeddings."]}),"\n",(0,d.jsxs)(t.ol,{children:["\n",(0,d.jsxs)(t.li,{children:["\n",(0,d.jsxs)(t.p,{children:[(0,d.jsx)(t.strong,{children:"Embedding Model"}),": Use your own embedding model by connecting an ",(0,d.jsx)(t.a,{href:"/components-embedding-models",children:"Embeddings"})," component in Langflow."]}),"\n"]}),"\n",(0,d.jsxs)(t.li,{children:["\n",(0,d.jsxs)(t.p,{children:[(0,d.jsx)(t.strong,{children:"Astra Vectorize"}),": Use Astra DB's built-in embedding generation service. When creating a new collection, choose the embeddings provider and models, including NVIDIA's ",(0,d.jsx)(t.code,{children:"NV-Embed-QA"})," model hosted by Datastax."]}),"\n"]}),"\n"]}),"\n",(0,d.jsx)(t.admonition,{type:"important",children:(0,d.jsx)(t.p,{children:"The embedding model selection is made when creating a new collection and cannot be changed later."})}),"\n",(0,d.jsxs)(t.p,{children:["For an example of using the ",(0,d.jsx)(t.strong,{children:"Astra DB Vector Store"})," component with an embedding model, see the ",(0,d.jsx)(t.a,{href:"/starter-projects-vector-store-rag",children:"Vector Store RAG starter project"}),"."]}),"\n",(0,d.jsxs)(t.p,{children:["For more information, see the ",(0,d.jsx)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/embedding-generation.html",children:"Astra DB Serverless documentation"}),"."]}),"\n",(0,d.jsx)(t.h3,{id:"hybrid-search",children:"Hybrid search"}),"\n",(0,d.jsxs)(t.p,{children:["The ",(0,d.jsx)(t.strong,{children:"Astra DB"})," component includes ",(0,d.jsx)(t.strong,{children:"hybrid search"}),", which is enabled by default."]}),"\n",(0,d.jsxs)(t.p,{children:["The component fields related to hybrid search are ",(0,d.jsx)(t.strong,{children:"Search Query"}),", ",(0,d.jsx)(t.strong,{children:"Lexical Terms"}),", and ",(0,d.jsx)(t.strong,{children:"Reranker"}),"."]}),"\n",(0,d.jsxs)(t.ul,{children:["\n",(0,d.jsxs)(t.li,{children:[(0,d.jsx)(t.strong,{children:"Search Query"})," finds results by vector similarity."]}),"\n",(0,d.jsxs)(t.li,{children:[(0,d.jsx)(t.strong,{children:"Lexical Terms"})," is a comma-separated string of keywords, like ",(0,d.jsx)(t.code,{children:"features, data, attributes, characteristics"}),"."]}),"\n",(0,d.jsxs)(t.li,{children:[(0,d.jsx)(t.strong,{children:"Reranker"})," is the re-ranker model used in the hybrid search.\nThe re-ranker model is ",(0,d.jsx)(t.code,{children:"nvidia/llama-3.2-nv.reranker"}),"."]}),"\n"]}),"\n",(0,d.jsxs)(t.p,{children:[(0,d.jsx)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/hybrid-search.html",children:"Hybrid search"})," performs a vector similarity search and a lexical search, compares the results of both searches, and then returns the most relevant results overall."]}),"\n",(0,d.jsxs)(t.p,{children:["To use ",(0,d.jsx)(t.strong,{children:"Hybrid search"})," in the ",(0,d.jsx)(t.strong,{children:"Astra DB"})," component, do the following:"]}),"\n",(0,d.jsxs)(t.ol,{children:["\n",(0,d.jsxs)(t.li,{children:["Click ",(0,d.jsx)(t.strong,{children:"New Flow"})," > ",(0,d.jsx)(t.strong,{children:"RAG"})," > ",(0,d.jsx)(t.strong,{children:"Hybrid Search RAG"}),"."]}),"\n",(0,d.jsxs)(t.li,{children:["In the ",(0,d.jsx)(t.strong,{children:"OpenAI"})," model component, add your ",(0,d.jsx)(t.strong,{children:"OpenAI API key"}),"."]}),"\n",(0,d.jsxs)(t.li,{children:["In the ",(0,d.jsx)(t.strong,{children:"Astra DB"})," vector store component, add your ",(0,d.jsx)(t.strong,{children:"Astra DB Application Token"}),"."]}),"\n",(0,d.jsxs)(t.li,{children:["In the ",(0,d.jsx)(t.strong,{children:"Database"})," field, select your database."]}),"\n",(0,d.jsxs)(t.li,{children:["In the ",(0,d.jsx)(t.strong,{children:"Collection"})," field, select the collection you want to search.\nYou must enable support for hybrid search when you create the collection."]}),"\n",(0,d.jsxs)(t.li,{children:["In the ",(0,d.jsx)(t.strong,{children:"Playground"}),", enter a question about your data, such as ",(0,d.jsx)(t.code,{children:"What are the features of my data?"}),"\nYour query is sent to two components: an ",(0,d.jsx)(t.strong,{children:"OpenAI"})," model component and the ",(0,d.jsx)(t.strong,{children:"Astra DB"})," vector database component.\nThe ",(0,d.jsx)(t.strong,{children:"OpenAI"})," component contains a prompt for creating the lexical query from your input:"]}),"\n"]}),"\n",(0,d.jsx)(o.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"You are a database query planner that takes a user's requests, and then converts to a search against the subject matter in question.",props:{}}]},{tokens:[{content:"You should convert the query into:",props:{}}]},{tokens:[{content:"1. A list of keywords to use against a Lucene text analyzer index, no more than 4. Strictly unigrams.",props:{}}]},{tokens:[{content:"2. A question to use as the basis for a QA embedding engine.",props:{}}]},{tokens:[{content:"Avoid common keywords associated with the user's subject matter.",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,d.jsxs)(t.ol,{start:"7",children:["\n",(0,d.jsxs)(t.li,{children:["To view the keywords and questions the ",(0,d.jsx)(t.strong,{children:"OpenAI"})," component generates from your collection, in the ",(0,d.jsx)(t.strong,{children:"OpenAI"})," component, click ",(0,d.jsx)(c.A,{name:"TextSearch","aria-label":"Inspect icon"}),"."]}),"\n"]}),"\n",(0,d.jsx)(o.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"1. Keywords: features, data, attributes, characteristics",props:{}}]},{tokens:[{content:"2. Question: What characteristics can be identified in my data?",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,d.jsxs)(t.ol,{start:"8",children:["\n",(0,d.jsxs)(t.li,{children:["\n",(0,d.jsxs)(t.p,{children:["To view the ",(0,d.jsx)(t.a,{href:"/concepts-objects#dataframe-object",children:"DataFrame"})," generated from the ",(0,d.jsx)(t.strong,{children:"OpenAI"})," component's response, in the ",(0,d.jsx)(t.strong,{children:"Structured Output"})," component, click ",(0,d.jsx)(c.A,{name:"TextSearch","aria-label":"Inspect icon"}),".\nThe DataFrame is passed to a ",(0,d.jsx)(t.strong,{children:"Parser"})," component, which parses the contents of the ",(0,d.jsx)(t.strong,{children:"Keywords"})," column into a string."]}),"\n",(0,d.jsxs)(t.p,{children:["This string of comma-separated words is passed to the ",(0,d.jsx)(t.strong,{children:"Lexical Terms"})," port of the ",(0,d.jsx)(t.strong,{children:"Astra DB"})," component.\nNote that the ",(0,d.jsx)(t.strong,{children:"Search Query"})," port of the Astra DB port is connected to the ",(0,d.jsx)(t.strong,{children:"Chat Input"})," component from step 6.\nThis ",(0,d.jsx)(t.strong,{children:"Search Query"})," is vectorized, and both the ",(0,d.jsx)(t.strong,{children:"Search Query"})," and ",(0,d.jsx)(t.strong,{children:"Lexical Terms"})," content are sent to the reranker at the ",(0,d.jsx)(t.code,{children:"find_and_rerank"})," endpoint."]}),"\n",(0,d.jsxs)(t.p,{children:["The reranker compares the vector search results against the string of terms from the lexical search.\nThe highest-ranked results of your hybrid search are returned to the ",(0,d.jsx)(t.strong,{children:"Playground"}),"."]}),"\n"]}),"\n"]}),"\n",(0,d.jsxs)(t.p,{children:["For more information, see the ",(0,d.jsx)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/hybrid-search.html",children:"DataStax documentation"}),"."]}),"\n",(0,d.jsx)(t.h2,{id:"astradb-graph-vector-store",children:"AstraDB Graph vector store"}),"\n",(0,d.jsxs)(t.p,{children:["This component implements a Vector Store using AstraDB with graph capabilities.\nFor more information, see the ",(0,d.jsx)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/tutorials/graph-rag.html",children:"Astra DB Serverless documentation"}),"."]}),"\n",(0,d.jsx)(t.h3,{id:"inputs-1",children:"Inputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"collection_name"}),(0,d.jsx)(t.td,{children:"Collection Name"}),(0,d.jsx)(t.td,{children:"The name of the collection within AstraDB where the vectors will be stored (required)"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"token"}),(0,d.jsx)(t.td,{children:"Astra DB Application Token"}),(0,d.jsx)(t.td,{children:"Authentication token for 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use"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"metric"}),(0,d.jsx)(t.td,{children:"Metric"}),(0,d.jsx)(t.td,{children:'Distance metric for vector comparisons (options: "cosine", "euclidean", "dot_product")'})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"setup_mode"}),(0,d.jsx)(t.td,{children:"Setup Mode"}),(0,d.jsx)(t.td,{children:'Configuration mode for setting up the vector store (options: "Sync", "Async", "Off")'})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"pre_delete_collection"}),(0,d.jsx)(t.td,{children:"Pre Delete Collection"}),(0,d.jsx)(t.td,{children:"Boolean flag to determine whether to delete the collection before creating a new one"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"number_of_results"}),(0,d.jsx)(t.td,{children:"Number of Results"}),(0,d.jsx)(t.td,{children:"Number of results to return in similarity search (default: 4)"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"search_type"}),(0,d.jsx)(t.td,{children:"Search Type"}),(0,d.jsx)(t.td,{children:'Search type to use (options: "Similarity", "Graph Traversal", "Hybrid")'})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"traversal_depth"}),(0,d.jsx)(t.td,{children:"Traversal Depth"}),(0,d.jsx)(t.td,{children:"Maximum depth for graph traversal searches (default: 1)"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"search_score_threshold"}),(0,d.jsx)(t.td,{children:"Search Score Threshold"}),(0,d.jsx)(t.td,{children:"Minimum similarity score threshold for search results"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"search_filter"}),(0,d.jsx)(t.td,{children:"Search Metadata Filter"}),(0,d.jsx)(t.td,{children:"Optional dictionary of filters to apply to the search 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",(0,d.jsx)(t.a,{href:"https://cassandra.apache.org/doc/latest/cassandra/vector-search/overview.html",children:"Cassandra documentation"}),"."]}),"\n",(0,d.jsx)(t.h3,{id:"inputs-2",children:"Inputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Type"}),(0,d.jsx)(t.th,{children:"Description"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"database_ref"}),(0,d.jsx)(t.td,{children:"String"}),(0,d.jsx)(t.td,{children:"Contact points for the database or AstraDB database ID"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"username"}),(0,d.jsx)(t.td,{children:"String"}),(0,d.jsx)(t.td,{children:"Username for the database (leave empty for AstraDB)"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"token"}),(0,d.jsx)(t.td,{children:"SecretString"}),(0,d.jsx)(t.td,{children:"User password for the database or AstraDB 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table"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"cluster_kwargs"}),(0,d.jsx)(t.td,{children:"Dict"}),(0,d.jsx)(t.td,{children:"Additional keyword arguments for the Cassandra cluster"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"search_query"}),(0,d.jsx)(t.td,{children:"String"}),(0,d.jsx)(t.td,{children:"Query for similarity search"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"ingest_data"}),(0,d.jsx)(t.td,{children:"Data"}),(0,d.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"embedding"}),(0,d.jsx)(t.td,{children:"Embeddings"}),(0,d.jsx)(t.td,{children:"Embedding function to use"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"number_of_results"}),(0,d.jsx)(t.td,{children:"Integer"}),(0,d.jsx)(t.td,{children:"Number of results to return in 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Default: 4 (advanced)."})]})]})]}),"\n",(0,d.jsx)(t.h3,{id:"outputs-6",children:"Outputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Type"}),(0,d.jsx)(t.th,{children:"Description"})]})}),(0,d.jsx)(t.tbody,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"vector_store"}),(0,d.jsx)(t.td,{children:"CouchbaseVectorStore"}),(0,d.jsx)(t.td,{children:"A Couchbase vector store instance configured with the specified parameters."})]})})]}),"\n",(0,d.jsx)(t.h2,{id:"elasticsearch",children:"Elasticsearch"}),"\n",(0,d.jsxs)(t.p,{children:["This component creates an Elasticsearch Vector Store with search capabilities.\nFor more information, see the ",(0,d.jsx)(t.a,{href:"https://www.elastic.co/guide/en/elasticsearch/reference/current/dense-vector.html",children:"Elasticsearch documentation"}),"."]}),"\n",(0,d.jsx)(t.h3,{id:"inputs-7",children:"Inputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Type"}),(0,d.jsx)(t.th,{children:"Description"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"es_url"}),(0,d.jsx)(t.td,{children:"String"}),(0,d.jsx)(t.td,{children:"Elasticsearch server URL"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"es_user"}),(0,d.jsx)(t.td,{children:"String"}),(0,d.jsx)(t.td,{children:"Username for Elasticsearch authentication"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"es_password"}),(0,d.jsx)(t.td,{children:"SecretString"}),(0,d.jsx)(t.td,{children:"Password for Elasticsearch authentication"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"index_name"}),(0,d.jsx)(t.td,{children:"String"}),(0,d.jsx)(t.td,{children:"Name of the Elasticsearch index"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"strategy"}),(0,d.jsx)(t.td,{children:"String"}),(0,d.jsx)(t.td,{children:'Strategy for vector search ("approximate_k_nearest_neighbors" or "script_scoring")'})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"distance_strategy"}),(0,d.jsx)(t.td,{children:"String"}),(0,d.jsx)(t.td,{children:'Strategy for distance calculation ("COSINE", "EUCLIDEAN_DISTANCE", "DOT_PRODUCT")'})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"search_query"}),(0,d.jsx)(t.td,{children:"String"}),(0,d.jsx)(t.td,{children:"Query for similarity search"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"ingest_data"}),(0,d.jsx)(t.td,{children:"Data"}),(0,d.jsx)(t.td,{children:"Data to be ingested into the vector store"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"embedding"}),(0,d.jsx)(t.td,{children:"Embeddings"}),(0,d.jsx)(t.td,{children:"Embedding function to use"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"number_of_results"}),(0,d.jsx)(t.td,{children:"Integer"}),(0,d.jsx)(t.td,{children:"Number of results to return in search (default: 4)"})]})]})]}),"\n",(0,d.jsx)(t.h3,{id:"outputs-7",children:"Outputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Type"}),(0,d.jsx)(t.th,{children:"Description"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"vector_store"}),(0,d.jsx)(t.td,{children:"ElasticsearchStore"}),(0,d.jsx)(t.td,{children:"Elasticsearch vector store instance"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"search_results"}),(0,d.jsx)(t.td,{children:"List[Data]"}),(0,d.jsx)(t.td,{children:"Results of similarity search"})]})]})]}),"\n",(0,d.jsx)(t.h2,{id:"faiss",children:"FAISS"}),"\n",(0,d.jsxs)(t.p,{children:["This component creates a FAISS Vector Store with search capabilities.\nFor more information, see the ",(0,d.jsx)(t.a,{href:"https://faiss.ai/index.html",children:"FAISS documentation"}),"."]}),"\n",(0,d.jsx)(t.h3,{id:"inputs-8",children:"Inputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Type"}),(0,d.jsx)(t.th,{children:"Description"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"index_name"}),(0,d.jsx)(t.td,{children:"String"}),(0,d.jsx)(t.td,{children:'The name of the FAISS index. 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Default: True (advanced)."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"embedding"}),(0,d.jsx)(t.td,{children:"Embeddings"}),(0,d.jsx)(t.td,{children:"The embedding function to use for the vector store."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"number_of_results"}),(0,d.jsx)(t.td,{children:"Integer"}),(0,d.jsx)(t.td,{children:"Number of results to return from the search. 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This is not required for collections embedded with ",(0,d.jsx)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/embedding-generation.html",children:"Astra vectorize"}),"."]})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"vector_store"}),(0,d.jsx)(t.td,{children:"Vector Store Connection"}),(0,d.jsx)(t.td,{children:"Connection to the vector store."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"edge_definition"}),(0,d.jsx)(t.td,{children:"Edge Definition"}),(0,d.jsxs)(t.td,{children:["Edge definition for the graph traversal. For more information, see the ",(0,d.jsx)(t.a,{href:"https://datastax.github.io/graph-rag/reference/graph_retriever/edges/",children:"GraphRAG documentation"}),"."]})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"strategy"}),(0,d.jsx)(t.td,{children:"Traversal Strategies"}),(0,d.jsx)(t.td,{children:"The strategy to use for graph traversal. Strategy options are dynamically loaded from available strategies."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"search_query"}),(0,d.jsx)(t.td,{children:"Search Query"}),(0,d.jsx)(t.td,{children:"The query to search for in the vector store."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"graphrag_strategy_kwargs"}),(0,d.jsx)(t.td,{children:"Strategy Parameters"}),(0,d.jsxs)(t.td,{children:["Optional dictionary of additional parameters for the retrieval strategy. For more information, see the ",(0,d.jsx)(t.a,{href:"https://datastax.github.io/graph-rag/reference/graph_retriever/strategies/",children:"strategy documentation"}),"."]})]})]})]}),"\n",(0,d.jsx)(t.h3,{id:"outputs-9",children:"Outputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Type"}),(0,d.jsx)(t.th,{children:"Description"})]})}),(0,d.jsx)(t.tbody,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"search_results"}),(0,d.jsx)(t.td,{children:"List[Data]"}),(0,d.jsxs)(t.td,{children:["Results of the graph-based document retrieval as a list of ",(0,d.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," objects."]})]})})]}),"\n",(0,d.jsx)(t.h2,{id:"hyper-converged-database-hcd-vector-store",children:"Hyper-Converged Database (HCD) Vector Store"}),"\n",(0,d.jsx)(t.p,{children:"This component implements a Vector Store using HCD."}),"\n",(0,d.jsxs)(t.p,{children:["To use the HCD vector store, add your deployment's collection name, username, password, and HCD Data API endpoint.\nThe endpoint must be formatted like ",(0,d.jsx)(t.code,{children:"http[s]://**DOMAIN_NAME** or **IP_ADDRESS**[:port]"}),", for example, ",(0,d.jsx)(t.code,{children:"http://192.0.2.250:8181"}),"."]}),"\n",(0,d.jsxs)(t.p,{children:["Replace ",(0,d.jsx)(t.strong,{children:"DOMAIN_NAME"})," or ",(0,d.jsx)(t.strong,{children:"IP_ADDRESS"})," with the domain name or IP address of your HCD Data API connection."]}),"\n",(0,d.jsx)(t.p,{children:"To use the HCD vector store for embeddings ingestion, connect it to an embeddings model and a file loader:"}),"\n",(0,d.jsx)(t.p,{children:(0,d.jsx)(t.img,{alt:"HCD vector store embeddings 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data"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"bulk_delete_concurrency"}),(0,d.jsx)(t.td,{children:"Bulk Delete Concurrency"}),(0,d.jsx)(t.td,{children:"Optional concurrency level for bulk delete operations"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"setup_mode"}),(0,d.jsx)(t.td,{children:"Setup Mode"}),(0,d.jsx)(t.td,{children:'Configuration mode for setting up the vector store (options: "Sync", "Async", "Off", default: "Sync")'})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"pre_delete_collection"}),(0,d.jsx)(t.td,{children:"Pre Delete Collection"}),(0,d.jsx)(t.td,{children:"Boolean flag to determine whether to delete the collection before creating a new one"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"metadata_indexing_include"}),(0,d.jsx)(t.td,{children:"Metadata Indexing Include"}),(0,d.jsx)(t.td,{children:"Optional list of metadata fields to include in the 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b/components-bundle-components.html @@ -21,7 +21,7 @@ - + diff --git a/components-custom-components.html b/components-custom-components.html index e2011d527b..eca0898dcd 100644 --- a/components-custom-components.html +++ b/components-custom-components.html @@ -21,7 +21,7 @@ - + diff --git a/components-data.html b/components-data.html index e2b3eb8dce..3d882649ca 100644 --- a/components-data.html +++ b/components-data.html @@ -21,7 +21,7 @@ - + diff --git a/components-embedding-models.html b/components-embedding-models.html index f9b63470ff..e10c7c858f 100644 --- a/components-embedding-models.html +++ b/components-embedding-models.html @@ -21,7 +21,7 @@ - + diff --git a/components-helpers.html b/components-helpers.html index 0e1a0e5968..9717a8e4d0 100644 --- a/components-helpers.html +++ b/components-helpers.html @@ -21,7 +21,7 @@ - + diff --git a/components-io.html b/components-io.html index 879429c785..756bd9dcd9 100644 --- a/components-io.html +++ b/components-io.html @@ -21,7 +21,7 @@ - + diff --git a/components-loaders.html b/components-loaders.html index 50be7dd43f..5c052cd2c2 100644 --- a/components-loaders.html +++ b/components-loaders.html @@ -21,7 +21,7 @@ - + diff --git a/components-logic.html b/components-logic.html index 73e9e63cf6..7b32ad9b44 100644 --- a/components-logic.html +++ b/components-logic.html @@ -21,7 +21,7 @@ - + diff --git a/components-memories.html b/components-memories.html index 7c29007585..9df50e58b1 100644 --- a/components-memories.html +++ b/components-memories.html @@ -21,7 +21,7 @@ - + diff --git a/components-models.html b/components-models.html index 66f6a0ec42..a710078914 100644 --- a/components-models.html +++ b/components-models.html @@ -21,7 +21,7 @@ - + diff --git a/components-processing.html b/components-processing.html index 56b8f32bd7..086fd8f1e7 100644 --- a/components-processing.html +++ b/components-processing.html @@ -21,7 +21,7 @@ - + diff --git a/components-prompts.html b/components-prompts.html index 26e4f7e04a..b404f45b19 100644 --- a/components-prompts.html +++ b/components-prompts.html @@ -21,7 +21,7 @@ - + diff --git a/components-tools.html b/components-tools.html index b59dc50d9f..749a87b6bb 100644 --- a/components-tools.html +++ b/components-tools.html @@ -21,7 +21,7 @@ - + diff --git a/components-vector-stores.html b/components-vector-stores.html index 794f5bcfc0..435a7e58cf 100644 --- a/components-vector-stores.html +++ b/components-vector-stores.html @@ -21,7 +21,7 @@ - + @@ -42,7 +42,7 @@

Use a vector store component in a flow​

This example uses the Astra DB vector store component. Your vector store component's parameters and authentication may be different, but the document ingestion workflow is the same. A document is loaded from a local machine and chunked. The Astra DB vector store generates embeddings with the connected model component, and stores them in the connected Astra DB database.

This vector data can then be retrieved for workloads like Retrieval Augmented Generation.

-

+

The user's chat input is embedded and compared to the vectors embedded during document ingestion for a similarity search. The results are output from the vector database component as a Data object and parsed into text. This text fills the {context} variable in the Prompt component, which informs the Open AI model component's responses.

diff --git a/concepts-components.html b/concepts-components.html index 398967f81c..346372886b 100644 --- a/concepts-components.html +++ b/concepts-components.html @@ -21,7 +21,7 @@ - + diff --git a/concepts-file-management.html b/concepts-file-management.html index dbce10d6dc..8cb4d93eb7 100644 --- a/concepts-file-management.html +++ b/concepts-file-management.html @@ -21,7 +21,7 @@ - + diff --git a/concepts-flows.html b/concepts-flows.html index bd1b014cd7..42fa13edac 100644 --- a/concepts-flows.html +++ b/concepts-flows.html @@ -21,7 +21,7 @@ - + diff --git a/concepts-objects.html b/concepts-objects.html index 7fb2e0c089..221746234a 100644 --- a/concepts-objects.html +++ b/concepts-objects.html @@ -21,7 +21,7 @@ - + diff --git a/concepts-overview.html b/concepts-overview.html index 37010b0848..e6d34a148d 100644 --- a/concepts-overview.html +++ b/concepts-overview.html @@ -21,7 +21,7 @@ - + diff --git a/concepts-playground.html b/concepts-playground.html index 415d57c6a5..b79e68c4bb 100644 --- a/concepts-playground.html +++ b/concepts-playground.html @@ -21,7 +21,7 @@ - + diff --git a/concepts-publish.html b/concepts-publish.html index 17b761cc50..e8a21480a2 100644 --- a/concepts-publish.html +++ b/concepts-publish.html @@ -21,7 +21,7 @@ - + diff --git a/concepts-voice-mode.html b/concepts-voice-mode.html index 2d25570a71..4d294448d0 100644 --- a/concepts-voice-mode.html +++ b/concepts-voice-mode.html @@ -21,7 +21,7 @@ - + diff --git a/configuration-api-keys.html b/configuration-api-keys.html index 3a17e4145a..70ae6e3a68 100644 --- a/configuration-api-keys.html +++ b/configuration-api-keys.html @@ -21,7 +21,7 @@ - + diff --git a/configuration-authentication.html b/configuration-authentication.html index 5573f06a07..eb494fab2b 100644 --- a/configuration-authentication.html +++ b/configuration-authentication.html @@ -21,7 +21,7 @@ - + diff --git a/configuration-cli.html b/configuration-cli.html index ba34344f1a..be29eebba0 100644 --- a/configuration-cli.html +++ b/configuration-cli.html @@ -21,7 +21,7 @@ - + diff --git a/configuration-custom-database.html b/configuration-custom-database.html index 3deec8667e..496f587e56 100644 --- a/configuration-custom-database.html +++ b/configuration-custom-database.html @@ -21,7 +21,7 @@ - + diff --git a/configuration-global-variables.html b/configuration-global-variables.html index d071825f9e..bed949e92d 100644 --- a/configuration-global-variables.html +++ b/configuration-global-variables.html @@ -21,7 +21,7 @@ - + diff --git a/contributing-community.html b/contributing-community.html index 9dac630966..84f5e8d0eb 100644 --- a/contributing-community.html +++ b/contributing-community.html @@ -21,7 +21,7 @@ - + diff --git a/contributing-component-tests.html b/contributing-component-tests.html index 26efaa066e..f1593dc9ff 100644 --- a/contributing-component-tests.html +++ b/contributing-component-tests.html @@ -21,7 +21,7 @@ - + diff --git a/contributing-components.html b/contributing-components.html index 4c009cd861..c5f813bc44 100644 --- a/contributing-components.html +++ b/contributing-components.html @@ -21,7 +21,7 @@ - + diff --git a/contributing-github-discussions.html b/contributing-github-discussions.html index 330e7c8036..55d3631296 100644 --- a/contributing-github-discussions.html +++ b/contributing-github-discussions.html @@ -21,7 +21,7 @@ - + diff --git a/contributing-github-issues.html b/contributing-github-issues.html index 72d5386e75..b013d10627 100644 --- a/contributing-github-issues.html +++ b/contributing-github-issues.html @@ -21,7 +21,7 @@ - + diff --git a/contributing-how-to-contribute.html b/contributing-how-to-contribute.html index 64d87acc11..1612eb31ff 100644 --- a/contributing-how-to-contribute.html +++ b/contributing-how-to-contribute.html @@ -21,7 +21,7 @@ - + diff --git a/contributing-telemetry.html b/contributing-telemetry.html index c78d681e96..eafbc572c3 100644 --- a/contributing-telemetry.html +++ b/contributing-telemetry.html @@ -21,7 +21,7 @@ - + diff --git a/deployment-docker.html b/deployment-docker.html index acdd939437..da65723fee 100644 --- a/deployment-docker.html +++ b/deployment-docker.html @@ -21,7 +21,7 @@ - + diff --git a/deployment-gcp.html b/deployment-gcp.html index 9e5727fd60..e24e5e59e4 100644 --- a/deployment-gcp.html +++ b/deployment-gcp.html @@ -21,7 +21,7 @@ - + diff --git a/deployment-hugging-face-spaces.html b/deployment-hugging-face-spaces.html index 1635e921b6..fbe107ca1c 100644 --- a/deployment-hugging-face-spaces.html +++ b/deployment-hugging-face-spaces.html @@ -21,7 +21,7 @@ - + diff --git a/deployment-kubernetes.html b/deployment-kubernetes.html index 109ba599f1..139ba79732 100644 --- a/deployment-kubernetes.html +++ b/deployment-kubernetes.html @@ -21,7 +21,7 @@ - + diff --git a/deployment-overview.html b/deployment-overview.html index 2eb43c8729..bc9805b5f9 100644 --- a/deployment-overview.html +++ b/deployment-overview.html @@ -21,7 +21,7 @@ - + diff --git a/deployment-railway.html b/deployment-railway.html index 85cdc955b1..60f15d8aca 100644 --- a/deployment-railway.html +++ b/deployment-railway.html @@ -21,7 +21,7 @@ - + diff --git a/deployment-render.html b/deployment-render.html index 9ae73086b3..ee17cad4c6 100644 --- a/deployment-render.html +++ b/deployment-render.html @@ -21,7 +21,7 @@ - + diff --git a/develop-application.html b/develop-application.html index 609cf8c858..5cc1c79df2 100644 --- a/develop-application.html +++ b/develop-application.html @@ -21,7 +21,7 @@ - + diff --git a/develop-overview.html b/develop-overview.html index 8851d041d4..98c56028ee 100644 --- a/develop-overview.html +++ b/develop-overview.html @@ -21,7 +21,7 @@ - + diff --git a/document-qa.html b/document-qa.html index a929e2f88b..37a54579de 100644 --- a/document-qa.html +++ b/document-qa.html @@ -21,7 +21,7 @@ - + diff --git a/environment-variables.html b/environment-variables.html index b9291b3877..1fd2eb2f4b 100644 --- a/environment-variables.html +++ b/environment-variables.html @@ -21,7 +21,7 @@ - + diff --git a/get-started-installation.html b/get-started-installation.html index 89a3f85a55..6e5079ffc8 100644 --- a/get-started-installation.html +++ b/get-started-installation.html @@ -21,7 +21,7 @@ - + diff --git a/get-started-quickstart.html b/get-started-quickstart.html index d10a4bb9b9..3a652db504 100644 --- a/get-started-quickstart.html +++ b/get-started-quickstart.html @@ -21,7 +21,7 @@ - + diff --git a/img/vector-store-retrieval.png b/img/vector-store-retrieval.png index dabfce5410..12d5923726 100644 Binary files a/img/vector-store-retrieval.png and b/img/vector-store-retrieval.png differ diff --git a/index.html b/index.html index f94095aa47..9613eec392 100644 --- a/index.html +++ b/index.html @@ -21,7 +21,7 @@ - + diff --git a/install-custom-dependencies.html b/install-custom-dependencies.html index 78f3439ba2..a2a75f79df 100644 --- a/install-custom-dependencies.html +++ b/install-custom-dependencies.html @@ -21,7 +21,7 @@ - + diff --git a/integrations-apify.html b/integrations-apify.html index d97b649757..bc87dc5e2f 100644 --- a/integrations-apify.html +++ b/integrations-apify.html @@ -21,7 +21,7 @@ - + diff --git a/integrations-arize.html b/integrations-arize.html index 0c0a9e3e33..d5e0075343 100644 --- a/integrations-arize.html +++ b/integrations-arize.html @@ -21,7 +21,7 @@ - + diff --git a/integrations-assemblyai.html b/integrations-assemblyai.html index c09a7183ab..daf6c485ee 100644 --- a/integrations-assemblyai.html +++ b/integrations-assemblyai.html @@ -21,7 +21,7 @@ - + diff --git a/integrations-composio.html b/integrations-composio.html index 06a548cf7f..366be3807a 100644 --- a/integrations-composio.html +++ b/integrations-composio.html @@ -21,7 +21,7 @@ - + diff --git a/integrations-langfuse.html b/integrations-langfuse.html index 74d4710bf0..3d393703a2 100644 --- a/integrations-langfuse.html +++ b/integrations-langfuse.html @@ -3,7 +3,7 @@ -Langfuse | Langflow Documentation +Langfuse | Langflow Documentation @@ -21,7 +21,7 @@ - + @@ -36,47 +36,83 @@

Integrate Langfuse with Langflow

-

Langfuse is an observability and analytics platform specifically designed for language models and AI applications.

+

Langfuse (GitHub) is an open-source platform for LLM observability. It provides tracing and monitoring capabilities for AI applications, helping developers debug, analyze, and optimize their AI systems. Langfuse integrates with various tools and frameworks such as workflows builders like Langflow.

This guide walks you through how to configure Langflow to collect tracing data about your flow executions and automatically send the data to Langfuse.

+

Prerequisites​

-

Create Langfuse project credentials​

+

Set Langfuse credentials as environment variables​

  1. -

    In Langfuse, go to your project settings, and then create a new set of API keys.

    +

    In Langfuse, go to Project Settings, and then create a new set of API keys.

  2. Copy the following API key information:

    +
    3. +
  • Secret Key
  • Public Key
  • Host URL
- +
    +
  1. Set your Langfuse project credentials as environment variables in the same environment where you run Langflow.
-

Set your Langfuse credentials as environment variables​

-

Set your Langfuse project credentials as environment variables in the same environment where you run Langflow.

-

You can use any method you prefer to set environment variables. -The following examples show how to set environment variables in a terminal session (Linux or macOS) and in a command prompt session (Windows):

+

The following examples set environment variables in a Linux or macOS terminal session or in a Windows command prompt session: +Replace SECRET_KEY, PUBLIC_KEY, and HOST_URL with the API key information you copied from Langfuse.


_10
export LANGFUSE_SECRET_KEY=SECRET_KEY
_10
export LANGFUSE_PUBLIC_KEY=PUBLIC_KEY
_10
export LANGFUSE_HOST=HOST_URL

-

Replace SECRET_KEY, PUBLIC_KEY, and HOST_URL with the API key information you copied from Langfuse.

-

Start Langflow and run a flow​

+

Start Langflow and view traces in Langfuse​

  1. Start Langflow in the same terminal or environment where you set the environment variables:

_10
uv run langflow run

    -
  1. In Langflow, open an existing project, and then run a flow.
    2. +
  2. +

    In Langflow, open an existing project, and then run a flow.

    +

    Langflow automatically collects and sends tracing data about the flow execution to Langfuse.

    +
    3. +
  3. +

    View the collected data in your Langfuse project dashboard.

    +
-

View tracing data in Langfuse​

-

Langflow automatically collects and sends tracing data about the flow execution to Langfuse. -You can view the collected data in your Langfuse project dashboard.

-

Disable the Langfuse integration​

-

To disable the Langfuse integration, remove the environment variables you set in the previous steps and restart Langflow.