SQL Agent

This is a simple SQL Agent that can be used to run SQL queries against a database using LLMs. The main advantages of using the SQL Agent are:

• It can answer questions based on the databases’ schema as well as on the databases’ content (like describing a specific table).
• It can recover from errors by running a generated query, catching the traceback and regenerating it correctly.
• It can query the database as many times as needed to answer the user question.
• It will save tokens by only retrieving the schema from relevant tables.

Setup

Before you start, you need to install poetry.

1. Clone the repository
2. Install the dependencies: poetry install
3. Activate the virtual environment: poetry shell
4. Configure the environment variables in the .env file (use the .env.example as a template)
5. Initialize the database: python -m scripts.init_db

Running the Agent

To run the agent in CLI, you can use the following command:

python main.py

To run the agent in Streamlit, you can use the following command:

streamlit run main.py

Additional Information

For more information, please refer to the Agents LangChain documentation.

For more information about using LLMs with Streamlit, please refer to the Streamlit documentation.