31 lines
No EOL
1.2 KiB
Text
31 lines
No EOL
1.2 KiB
Text
import ThemedImage from '@theme/ThemedImage';
|
|
import useBaseUrl from '@docusaurus/useBaseUrl';
|
|
import ZoomableImage from '/src/theme/ZoomableImage.js';
|
|
import ReactPlayer from 'react-player';
|
|
|
|
# 🎨 Creating Flows
|
|
|
|
## Compose
|
|
|
|
Creating flows with LangFlow is easy. Drag sidebar components onto the canvas and connect them together to create your pipeline. LangFlow provides a range of [LangChain components](https://python.langchain.com/docs/modules/) to choose from, including LLMs, prompt serializers, agents, and chains.
|
|
|
|
<ZoomableImage
|
|
alt="Docusaurus themed image"
|
|
sources={{
|
|
light: 'img/langflow_canvas.png',
|
|
}}
|
|
/>
|
|
|
|
|
|
## Fork
|
|
|
|
The easiest way to start with LangFlow is by forking a **community example**. Forking an example stores a copy in your project collection, allowing you to edit and save the modified version as a new flow.
|
|
|
|
<ReactPlayer playing controls url='videos/langflow_fork.mp4' />
|
|
<p></p>
|
|
|
|
## Build
|
|
|
|
Building a flow means validating if the components have prerequisites fulfilled and are properly instantiated. When a chat message is sent, the flow will run for the first time, executing the pipeline.
|
|
|
|
<ReactPlayer playing controls url='videos/langflow_build.mp4' /> |