a1fae1fddd
Co-authored-by: Lance Martin <lance@langchain.dev> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> |
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sql_llama2 | ||
tests | ||
poetry.lock | ||
pyproject.toml | ||
README.md | ||
sql_llama2.ipynb |
sql-llama2
This template enables a user to interact with a SQL database using natural language.
It uses LLamA2-13b hosted by Replicate, but can be adapted to any API that supports LLaMA2 including Fireworks.
The template includes an example database of 2023 NBA rosters.
For more information on how to build this database, see here.
Environment Setup
Ensure the REPLICATE_API_TOKEN
is set in your environment.
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 sql-llama2
If you want to add this to an existing project, you can just run:
langchain app add sql-llama2
And add the following code to your server.py
file:
from sql_llama2 import chain as sql_llama2_chain
add_routes(app, sql_llama2_chain, path="/sql-llama2")
(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/sql-llama2/playground
We can access the template from code with:
from langserve.client import RemoteRunnable
runnable = RemoteRunnable("http://localhost:8000/sql-llama2")