langchain/templates/chain-of-note-wiki
2023-11-16 17:10:08 -08:00
..
chain_of_note_wiki Bagatur/chain of note template(#13470) 2023-11-16 10:34:04 -08:00
tests Bagatur/chain of note template(#13470) 2023-11-16 10:34:04 -08:00
LICENSE Bagatur/chain of note template(#13470) 2023-11-16 10:34:04 -08:00
poetry.lock IMPROVEMENT Allow openai v1 in all templates that require it (#13489) 2023-11-16 17:10:08 -08:00
pyproject.toml Bagatur/chain of note template(#13470) 2023-11-16 10:34:04 -08:00
README.md Update chain of note README.md (#13473) 2023-11-16 10:47:27 -08:00

Chain-of-Note (Wikipedia)

Implements Chain-of-Note as described in https://arxiv.org/pdf/2311.09210.pdf by Yu, et al. Uses Wikipedia for retrieval.

Check out the prompt being used here https://smith.langchain.com/hub/bagatur/chain-of-note-wiki.

Environment Setup

Uses Anthropic claude-2 chat model. Set Anthropic API key:

export ANTHROPIC_API_KEY="..."

Usage

To use this package, you should first have the LangChain CLI installed:

pip install -U "langchain-cli[serve]"

To create a new LangChain project and install this as the only package, you can do:

langchain app new my-app --package chain-of-note-wiki

If you want to add this to an existing project, you can just run:

langchain app add chain-of-note-wiki

And add the following code to your server.py file:

from chain_of_note_wiki import chain as chain_of_note_wiki_chain

add_routes(app, chain_of_note_wiki_chain, path="/chain-of-note-wiki")

(Optional) Let's now configure LangSmith. LangSmith will help us trace, monitor and debug LangChain applications. LangSmith is currently in private beta, you can sign up here. If you don't have access, you can skip this section

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 are inside this directory, then you can spin up a LangServe instance directly by:

langchain serve

This will start the FastAPI app with a server is running locally at http://localhost:8000

We can see all templates at http://127.0.0.1:8000/docs We can access the playground at http://127.0.0.1:8000/chain-of-note-wiki/playground

We can access the template from code with:

from langserve.client import RemoteRunnable

runnable = RemoteRunnable("http://localhost:8000/chain-of-note-wiki")