QA Bot using Retrieval-Augmented Generation (RAG)

Deployable question-answering system that allows users to upload a PDF and ask natural language questions using a Retrieval-Augmented Generation pipeline.

Project Structure

qa-bot-rag/
├── app/
│   ├── main.py
│   ├── rag_pipeline.py
│   └── config.py
├── ui/
│   └── gradio_app.py
├── requirements.txt
├── Dockerfile
├── docker-compose.yml
└── README.md

What this does

• loads a PDF
• splits it into chunks
• embeds the chunks
• stores them in Chroma
• retrieves relevant chunks
• generates an answer with an LLM

Run locally

pip install -r requirements.txt
python ui/gradio_app.py

Run API

uvicorn app.main:app --reload

Docker

docker build -t rag-bot .
docker run -p 8000:8000 rag-bot