Oncology Question Answering with RAG

Retrieval-augmented LLM application for medical QA

A domain-specific medical question-answering system built with FastAPI, SentenceTransformer embeddings, and a Qdrant vector store, using retrieval-augmented generation (RAG) in LangChain to ground LLM responses in oncology literature.

GitHub repository