honeyandme

This project designs and implements a medical intelligent Q&A system based on a knowledge-graph RAG and a large language model. Using the DiseaseKG medical dataset, it builds a domain knowledge graph in Neo4j containing 44,000 entities and 310,000 relationships. It combines BERT named-entity recognition and intent recognition by a 32B model with precise graph retrieval and controlled answer…