📄 Doc QA Chatbot

A production-style RAG-powered document Q&A chatbot built with Python, Groq LLM, and ChromaDB.

🏗️ Project Status

• Milestone 1 — LLM Chat with conversation history
• Milestone 2 — PDF ingestion & chunking
• Milestone 3 — Embeddings & vector store
• Milestone 4 — Full RAG chain + FastAPI
• Milestone 5 — Streamlit UI + Docker + Deploy

🚀 Quick Start

1. Clone & setup

git clone https://github.com/Bunny3/doc-qa-chatbot.git
cd doc-qa-chatbot
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

2. Configure environment

cp .env.example .env
# Add your GROQ_API_KEY to .env

3. Run

python main.py

🧠 Tech Stack

Layer	Technology
LLM	Groq (llama-3.1-8b-instant)
Vector DB	ChromaDB (coming M3)
Backend API	FastAPI (coming M4)
UI	Streamlit (coming M5)

📁 Project Structure

doc-qa-chatbot/
├── src/
│   ├── config.py        # Central config from env vars
│   ├── llm.py           # LLM client wrapper (swappable)
│   └── chat.py          # Conversation history manager
├── main.py              # CLI chatbot entry point
├── requirements.txt
└── .env.example