This project builds a medical knowledge graph from vertical medical websites, encompassing 7 entity types and 11 relation types. It provides two main components: a knowledge graph construction pipeline and an automated Q&A system powered by the graph. The system uses Neo4j as the graph database backend and processes user questions by traversing graph relationships to retrieve relevant medical information.