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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.


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

pip install -U langchain-cli

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 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. You can sign up for LangSmith here. If you don't have access, you can skip this section

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 We can access the playground at

We can access the template from code with:

from langserve.client import RemoteRunnable

runnable = RemoteRunnable("http://localhost:8000/sql-llama2")

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