Database AI Chatbot Agent

Simple chatbot with a flask web interface.

The chatbot leverages OpenAI API for user query comprehension complemented with RAG for up-to-date information retrieval.

Tools Used:

1. LangChain framework: for user query synthesis and reply generation
2. Flask: for web gui
3. GPT-4o mini: for language understanding
4. Database: Information retreval from the connected database using RAG Chinook Database is used: https://www.kaggle.com/datasets/anurag629/chinook-csv-dataset?select=Customer.csv

Steps to run:

1. Download this github repository

2. Create a virtual environment

   python -m venv venv

3. Activate the virtual environment

   source venv/bin/activate or venv/bin/activate [for Windows]

4. Install the requirements

   pip install -r requirements.txt

5. Add your OpenAI API key in a .env file

6. On the terminal run the command below

   python app.py

7. App should not be running on localhost default port