joyceannie/Medical_ChatBot
The objective of this project is to create a chatbot that can be used to communicate with users to provide answers to their health issues. This is a RAG implementation using open source stack.
Leverages BioMistral-7B (a medical domain-finetuned LLM) with PubMedBert embeddings and Qdrant vector database, orchestrated via LangChain and Llama CPP for CPU-efficient inference. Implements ConversationalRetrievalChain to maintain chat history, enabling query rewriting with prior context for improved response relevance. Ingests PDF documents via `ingest.py` to build vector embeddings, then retrieves semantically similar passages as context during inference, exposed through a FastAPI server.
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Last pushed
Mar 14, 2024
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