Architecting GraphRAG: Combining Knowledge Graphs with Vector Embeddings for Multi-Hop AI Retrieval
A deep architectural guide to GraphRAG: why flat vector cosine similarity fails at multi-hop reasoning, extracting entity-relationship knowledge graphs, hierarchical Leiden community detection, and building a hybrid graph-vector retrieval pipeline.