RAG Chatbot for Medical Q&A
Note:
Undergoing Modifications Check back in a few days!.
The project demonstrates the development of a Retrieval-Augmented Generation (RAG) chatbot for answering medical questions using scientific literature Relevant contexts are retrieved from PubMed via semantic search, then passed to a large language model to generate grounded and context-aware answers.