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rag-pdf-chatbot

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A full-stack RAG demo you can run locally or deploy to a VPS: upload a PDF, build a per-browser vector index (FAISS), chat with an LLM using retrieved context. The UI is a React + TypeScript SPA; the API is FastAPI + LangChain with a multi-agent pipeline, Sentry tunneling, & sensible production defaults (CORS, rate limits, session disk cleanup)

  • Updated Apr 21, 2026
  • TypeScript

Build a Production-Ready RAG system for intelligent Q&A over PDFs (policies, contracts, resumes). Powered by OpenAI Structured Outputs, Pydantic for schema enforcement, ChromaDB for local vector storage, and a Streamlit UI. Ideal for enterprise AI in legal, banking, and HR. Scalable, deterministic, and easy to deploy locally.

  • Updated Mar 21, 2026
  • Python

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