This project focuses on building an LLM-powered chatbot that leverages hospital system data and associated business requirements to demonstrate understanding that is useful in answering some key health questions. The chatbot is powered by a LangChain inspired retrieval-augmented generation approach that utilizes a graph database management suite, Neo4j in tandem with ChromaDB an LLM-friendly vector database.
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rnjema/health-langchain-rag-chatbot
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A Retrieval-Augmented Generation based chatbot built using LangChain that leverages Neo4j for data retrieval
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