Llama RAG Agent Project

This project implements a Retrieval-Augmented Generation (RAG) agent using LlamaIndex and Meta's Llama models.

Setup

1. Install Python 3.12.
2. Run pip install -r requirements.txt to install dependencies.
3. Activate the virtual environment: llamaenv/Scripts/activate (Windows).
4. Run the Flask agent: python src/flask_app.py...follow instructions in terminal to find the web endpoint for the Agent's Web UI. Start chatting with the Doc Bot Agent from there.

Features

• Web content ingestion using BeautifulSoup.
• RAG agent implementation using LlamaIndex.
• LLM using Meta Llama3.2 hosted through HuggingFace Hub
• Web UI (Chat Bot) powered by Flask