Medical-Graph-RAG builds a knowledge graph-enhanced RAG pipeline specifically for the medical domain. It combines three levels of medical data—patient reports, medical literature and textbooks, and clinical dictionaries like UMLS—into a hierarchical knowledge structure. The system uses graph traversal for retrieval and augments LLM responses with structured medical evidence. The project is associated with an ACL 2025 paper.