RAG Knowledge Assistant

A Retrieval-Augmented Generation (RAG) system for semantic document search and AI-powered querying.

What it does

• Ingests documents (PDF, text) into a Qdrant vector store
• Answers natural language queries using semantic retrieval + LLM
• FastAPI backend with a React frontend

Stack

Python · FastAPI · Qdrant · LangChain · React

Run locally

pip install -r requirements.txt
python bootstrap_db.py   # seed vector store
uvicorn main:app --reload