# 🏥 Medical-Bot RAG Chat
AI-powered medical Q&A assistant built with **Flask**, **Pinecone**, **Groq LLM** and **Hugging-Face embeddings**.
Ask any health-related question and get instant, evidence-based answers retrieved from trusted medical PDFs.
## ✨ Features
- **Retrieval-Augmented Generation** (RAG) – answers grounded in your own medical documents
- **Fast, free LLM** via Groq (`llama-3.1-8b-instant`)
- **Vector search** with Pinecone for sub-second similarity lookup
- **Responsive web UI** – works on desktop & mobile
## 🚀 Run locally
```bash
pip install -r requirements.txt
python app.py # http://localhost:8080
├── data/ # drop PDFs here before indexing
├── src/ # helper & prompt modules
├── store_index.py # build & upload embeddings
├── app.py # Flask chat server
├── requirements.txt
├── Dockerfile
└── README.md