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- + + diff --git a/Concepts/concepts-flows.html b/Concepts/concepts-flows.html index 54314d9ac7..1331dfbbde 100644 --- a/Concepts/concepts-flows.html +++ b/Concepts/concepts-flows.html @@ -16,8 +16,8 @@ - - + + @@ -25,7 +25,7 @@ -
Skip to main content

Flows

+

Flows

Flows in Langflow are fully serializable and can be saved and loaded from the file system. In this guide, we'll explore how to import and export flows.

Import Flow​

If you've already got a Langflow JSON file, import it into Langflow by clicking on the project name and choosing Import Flow.

diff --git a/Deployment/deployment-docker.html b/Deployment/deployment-docker.html index edb8692aab..fed3e1e14f 100644 --- a/Deployment/deployment-docker.html +++ b/Deployment/deployment-docker.html @@ -16,8 +16,8 @@ - - + + @@ -25,7 +25,7 @@ -

Docker

This guide will help you get LangFlow up and running using Docker and Docker Compose.

+

Docker

This guide will help you get LangFlow up and running using Docker and Docker Compose.

Prerequisites​

    diff --git a/agents-overview.html b/agents-overview.html index 2c201ab1b5..39e1269f6d 100644 --- a/agents-overview.html +++ b/agents-overview.html @@ -16,8 +16,8 @@ - - + + @@ -25,7 +25,7 @@ -

    Agents overview

    Agents are AI systems that use LLMs as a brain to analyze problems and select external tools.

    +

    Agents overview

    Agents are AI systems that use LLMs as a brain to analyze problems and select external tools.

    Instead of developers having to create logical statements to direct every possible path of a program, an agent can operate with autonomy. An agent can leverage external tools and APIs to gather information and take action, demonstrate chain-of-thought reasoning, and generate tailored text for specific purposes.

    To simplify the development of agents, Langflow created a custom Tool calling agent component that simplifies configuration and lets developers focus on solving problems with agents.

    Tool calling agentcomponent

    diff --git a/agents-tool-calling-agent-component.html b/agents-tool-calling-agent-component.html index 665395df2a..bd27a5e80a 100644 --- a/agents-tool-calling-agent-component.html +++ b/agents-tool-calling-agent-component.html @@ -16,8 +16,8 @@ - - + + @@ -25,7 +25,7 @@ -

    Create a problem-solving agent

    +

    Create a problem-solving agent

    Developing agents in Langchain is complex.

    The AgentComponent is a component for easily creating an AI agent capable of analyzing tasks using tools you provide.

    The component contains all of the elements you'll need for creating an agent. Instead of managing LLM models and providers, pick your model and enter your API key. Instead of connecting a Prompt component, enter instructions in the component's Agent Instruction fields.

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    API examples

    +

    API examples

    This page provides examples and practices for managing Langflow using the Langflow API.

    The Langflow API's OpenAPI spec can be viewed and tested at your Langflow deployment's docs endpoint. diff --git a/api.html b/api.html index 002dcde9e8..8e8ec1e269 100644 --- a/api.html +++ b/api.html @@ -16,8 +16,8 @@ - - + + diff --git a/api/add-user.html b/api/add-user.html index ffc05827d5..19c4e9b3bc 100644 --- a/api/add-user.html +++ b/api/add-user.html @@ -16,8 +16,8 @@ - - + + diff --git a/api/auto-login.html b/api/auto-login.html index 82a5977a9f..4a7d8fc1b0 100644 --- a/api/auto-login.html +++ b/api/auto-login.html @@ -16,8 +16,8 @@ - - + + diff --git a/api/build-flow.html b/api/build-flow.html index 076bdcade3..c94661f84f 100644 --- a/api/build-flow.html +++ b/api/build-flow.html @@ -16,8 +16,8 @@ - - + + diff --git a/api/build-vertex-stream.html b/api/build-vertex-stream.html index 18f6d47861..bcaec19d51 100644 --- a/api/build-vertex-stream.html +++ b/api/build-vertex-stream.html @@ -16,8 +16,8 @@ - - + + diff --git a/api/build-vertex.html b/api/build-vertex.html index 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",(0,i.jsx)(t.code,{children:"Ingestor"})," accepts additional configuration options for data extraction from other text formats. To configure these options, see the ",(0,i.jsx)(t.a,{href:"/integrations-nvidia-ingest#parameters",children:"component parameters"}),"."]}),"\n",(0,i.jsx)(t.h2,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,i.jsxs)(t.ul,{children:["\n",(0,i.jsxs)(t.li,{children:["\n",(0,i.jsxs)(t.p,{children:["An NVIDIA Ingest endpoint. For more information on setting up an NVIDIA Ingest endpoint, see the ",(0,i.jsx)(t.a,{href:"https://github.com/NVIDIA/nv-ingest?tab=readme-ov-file#quickstart",children:"NVIDIA Ingest quickstart"}),"."]}),"\n"]}),"\n",(0,i.jsxs)(t.li,{children:["\n",(0,i.jsxs)(t.p,{children:["The ",(0,i.jsx)(t.strong,{children:"NVIDIA Ingest"})," component requires the installation of additional dependencies to your Langflow environment. 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The component calls a NVIDIA Ingest microservice's endpoint to ingest a local file and extract the text."]}),"\n",(0,i.jsx)(t.p,{children:"To use the NVIDIA Ingest component in your flow, follow these steps:"}),"\n",(0,i.jsxs)(t.ol,{children:["\n",(0,i.jsxs)(t.li,{children:["In the component library, click the ",(0,i.jsx)(t.strong,{children:"NVIDIA Ingest"})," component, and then drag it onto the canvas."]}),"\n",(0,i.jsxs)(t.li,{children:["In the ",(0,i.jsx)(t.strong,{children:"NVIDIA Ingestion URL"})," field, enter the URL of the NVIDIA Ingest endpoint.\nOptionally, add the endpoint URL as a ",(0,i.jsx)(t.strong,{children:"Global variable"}),":","\n",(0,i.jsxs)(t.ol,{children:["\n",(0,i.jsxs)(t.li,{children:["Click ",(0,i.jsx)(t.strong,{children:"Settings"}),", and then click ",(0,i.jsx)(t.strong,{children:"Global Variables"}),"."]}),"\n",(0,i.jsxs)(t.li,{children:["Click ",(0,i.jsx)(t.strong,{children:"Add New"}),"."]}),"\n",(0,i.jsxs)(t.li,{children:["Name your variable. 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