This article was originally published on AI Study Room . For the full version with working code examples and related articles, visit the original post. Graph RAG: Knowledge Graphs, Entity Extraction, Relationship Traversal Introduction Traditional RAG retrieves documents based on semantic similarity. Graph RAG goes further by modeling the relationships between entities: people, companies, concepts, and their connections. This enables queries like "Which employees worked on projects managed by Alice?" that require traversing relationships rather than matching text. This article covers building knowledge graphs from documents and using them for retrieval.…