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Redis Database offers unique capability to keep your data fresh while serving through LLM chatbot

The easiest way to is to use a docker image using the below command

docker run -d -p 6379:6379 -p 8001:8001 redis/redis-stack:latest

If you do not want to use a docker image, you can sign up for a free Redis Cloud subscriptionhere.

Download the repository

git clone https://github.com/mar1boroman/text-sql-chatbot.git && cd text-sql-chatbot

Prepare and activate the virtual environment

python3 -m venv venv && source venv/bin/activate

Install necessary libraries and dependencies

pip install -r requirements.txt

Make sure you update the env file. You need a open ai api key & a langsmith api key to update the config.

mv env_backup .env

vi .env

Do not run if not required, below is just to show the workings

python  data/load.py

This creates the cars_database.db (sqllite) database.

If you run this directly, you will get an error since the cars_database.db is already present and there will be unique key constraint violation

streamlit run web/app.py