Knowledge Graph RAG (KG-RAG or GraphRAG) is an advanced evolution of standard Retrieval-Augmented Generation (RAG). It integrates knowledge graphs—structured networks of entities (nodes like people, concepts, or objects) and their explicit relationships (edges like "developed," "treats," or "connec…
Knowledge Graph RAG (KG-RAG or GraphRAG) is an advanced evolution of standard Retrieval-Augmented Generation (RAG). It integrates knowledge graphs—structured networks of entities (nodes like people, concepts, or objects) and their explicit relationships (edges like "developed," "treats," or "connected to")—into the retrieval process to feed richer, relationship-aware context to large language models (LLMs).
Standard RAG chunks documents, embeds them as vectors, and retrieves semantically similar
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