RAG-powered tool that helps Yale PhD nursing students answer questions on medical conditions, medications, and treatments using vectorized textbooks and clinical docs. Built with Streamlit and FastAPI, it runs Ollama (Llama3.2:1b) locally with BAAI/bge-small-en-v1.5 embeddings for semantic search. Features include confidence scoring, source citation, and real-time query processing for efficient study sessions.
Python
RAG
Vector DB
LLM
Medical
Efficiency
Vector
RAG
