README.md

RAG DEMO

This is a minimal demo project to show the capabilities of a Text2SQL system using LangChain, it contains all the things you required to build a basic RAG system. Using Chinook as the sample database.

Before Start

First, make a copy of .env.sample and rename it to .env, and change any fields that need to be changed

Then:

1. Download Chinook Database from here.
   1. Change the connection string in the .env file.
2. Setup the Ollama for the document tokenization and interaction
   1. See Setup - OllamaEmbeddings
   2. See Ollama
3. Get your LangSmith API Key from here.

Start the demo

Run python main.py and type anything you want to ask the RAG system

Screenshots