Multi-Document Query Agent with LlamaIndex and OpenAI GPT-3.5 Turbo

This project demonstrates how to set up a basic multi-document query agent using LlamaIndex and OpenAI's GPT-3.5 Turbo model. It allows querying across multiple documents by creating an index and retrieving relevant responses.

Features

• Indexing multiple documents for easy querying
• Querying with OpenAI's GPT-3.5 Turbo model
• Simple and easy-to-use setup

Prerequisites

• Python 3.7+
• An OpenAI API key for GPT-3.5 Turbo

Installation

1. Clone the Repository:

   git clone https://github.com/Haider199899/multi-doc-agent.git
   cd multi-doc-agent
   

2. Setting virtual environment and installing dependencies:

   python -m venv venv
   source venv/bin/activate
   pip install -r requirements.txt
   

3. Setting environment variables:

   touch .env
   Add you API_KEY for accessing OpenAI model e.g : 
       OPENAI_API_KEY="XXXXXXX"
    

4. Running the app:

   python main.py