163ef35dd1
Updated titles into a consistent format. Fixed links to the diagrams. Fixed typos. Note: The Templates menu in the navbar is now sorted by the file names. I'll try sorting the navbar menus by the page titles, not the page file names.
1.8 KiB
Plate chain
This template enables parsing of data from laboratory plates.
In the context of biochemistry or molecular biology, laboratory plates are commonly used tools to hold samples in a grid-like format.
This can parse the resulting data into standardized (e.g., JSON) format for further processing.
Environment Setup
Set the OPENAI_API_KEY environment variable to access the OpenAI models.
Usage
To utilize plate-chain, you must have the LangChain CLI installed:
pip install -U langchain-cli
Creating a new LangChain project and installing plate-chain as the only package can be done with:
langchain app new my-app --package plate-chain
If you wish to add this to an existing project, simply run:
langchain app add plate-chain
Then add the following code to your server.py file:
from plate_chain import chain as plate_chain
add_routes(app, plate_chain, path="/plate-chain")
(Optional) For configuring LangSmith, which helps trace, monitor and debug LangChain applications, use the following code:
export LANGCHAIN_TRACING_V2=true
export LANGCHAIN_API_KEY=<your-api-key>
export LANGCHAIN_PROJECT=<your-project> # if not specified, defaults to "default"
If you're in this directory, you can start a LangServe instance directly by:
langchain serve
This starts the FastAPI app with a server running locally at http://localhost:8000
All templates can be viewed at http://127.0.0.1:8000/docs Access the playground at http://127.0.0.1:8000/plate-chain/playground
You can access the template from code with:
from langserve.client import RemoteRunnable
runnable = RemoteRunnable("http://localhost:8000/plate-chain")