RAG Model for QA Bot

Model of Retrieval Augmented Generation (RAG) for a QA bot for Super Market Business, leveraging the OpenAI API and a vector database (Pinecone DB).

Usage

Model Setup

1. Clone the repository for the Flutter app:

git clone https://github.com/deep200315/RAG-Model-for-QA-Bot.git

2. Navigate to the project directory:

3. Create a virtual environment (optional but recommended when using personal environment):

python -m venv venv
source venv/bin/activate   # For Unix/Linux
# or
venv\Scripts\activate       # For Windows

4. Gather API keys from your OpenAI and PineCone Accounts and store them safely in your environment.

5. Install Dependencies and packages:

refer the pip commands in the code

6. Run the each cell one by one

Usage

Ask Any question based on the super market business;

It can answer you precisely and simply.

Here is the colab Link for your reference

https://colab.research.google.com/drive/1o1C7yvz2U0mxidtX-X_rpkndroQeu50G?usp=sharing