Rag-Chat-Bot

Rag-Chat-Bot is a Retrieval-Augmented Generation (RAG) chatbot that uses OpenAI's GPT-4 and embeddings to answer user queries based on a custom chat dataset.

Features

• Loads chat data from CSV files
• Stores chat embeddings in a persistent ChromaDB collection
• Retrieves relevant chats using semantic search
• Generates responses using GPT-4, strictly based on retrieved context

Setup

1. Clone the repository and open in VS Code (recommended).
2. Install dependencies:

   pip install -r requirements.txt

3. Set your OpenAI API key:
   • Create a .env file in the project root:

     OPENAI_API_KEY=your_openai_api_key
     

4. Run the chatbot:

   python [chatbot.py](http://_vscodecontentref_/4)

Usage

• The chatbot loads chat data from data/chat_training.csv by default.
• Enter your query at the prompt. Type exit or press Enter to quit.