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 cahatbot is powered by 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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