Evidence-grounded medical RAG system that retrieves FDA and NICE drug guidelines, generates cited answers, and safely refuses unsupported queries to minimize hallucinations.
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Updated
Feb 15, 2026 - Python
Evidence-grounded medical RAG system that retrieves FDA and NICE drug guidelines, generates cited answers, and safely refuses unsupported queries to minimize hallucinations.
A local full-stack medical research assistant combining semantic vector search and keyword queries with Ollama Qwen3 to answer clinical literature questions with cited references.
Medical RAG Chatbot using MedQuAD dataset, FAISS retrieval, and LLM (OpenAI/Groq) for contextual AI-powered medical question answering
Clinical decision support RAG over the WHO and NICE hypertension guidelines - three-layer guardrails (input gate, calibrated retrieval thresholds, verbatim claim audit), hybrid search with Cohere rerank, FastAPI + Qdrant/pgvector, and a React evidence-trail UI.
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