shibam17/AI-BUDDY

AI Study Buddy

This project is a simple GenAI LLM application that uses Retrieval-Augmented Generation (RAG) to help students answer questions based on stored study materials.

How It Works:

• The app retrieves relevant study materials from a vector database.
• It uses OpenAI's GPT-3 (or GPT-4) to generate responses based on these materials.

Setup Instructions:

1. Clone the repository:

   git clone <repo-link>

2. Install the required libraries:

   pip install -r requirements.txt

3. Set your OpenAI API key:

   • In app.py, replace 'your-openai-api-key' with your OpenAI API key.

4. Run the application:

   python app.py

5. You can send POST requests to http://localhost:5000/ask with a JSON body like:

   {
     "question": "What is photosynthesis?"
   }

6. The app will return a generated answer based on the context it retrieves from stored materials.