21 lines
878 B
Markdown
21 lines
878 B
Markdown
# Creating Flows
|
|
|
|
Creating flows with LangFlow is easy. Simply drag sidebar components onto the canvas and connect them together to create your pipeline. LangFlow provides a range of [LangChain components](https://langchain.readthedocs.io/en/latest/reference.html){.internal-link target=\_blank} to choose from, including LLMs, prompt serializers, agents, and chains.
|
|
|
|
<br>
|
|
|
|
Explore by editing prompt parameters, link chains and agents, track an agent's thought process, and export your flow.
|
|
|
|
<br>
|
|
|
|
Once you're done, you can export your flow as a JSON file to use with LangChain.
|
|
To do so, click the "Export" button in the top right corner of the canvas, then
|
|
in Python, you can load the flow with:
|
|
|
|
```py
|
|
from langflow import load_flow_from_json
|
|
|
|
flow = load_flow_from_json("path/to/flow.json")
|
|
# Now you can use it like any chain
|
|
flow("Hey, have you heard of LangFlow?")
|
|
```
|