RAG-powered tool that helps Yale 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
