Understanding GraphRAG

GraphRAG integrates retrieval-augmented generation (RAG) with knowledge graphs to enhance data retrieval processes. While there is no universal definition of GraphRAG, the emphasis is on incorporating structured data to improve the consistency and efficiency of information retrieval. This structured approach allows users to filter and navigate vast amounts of data more effectively; for instance, incorporating SQL queries alongside RAG queries can streamline the retrieval process. The focus remains on structuring unstructured data, leading to more efficient retrieval regardless of whether it consists of a fully developed knowledge graph or just organized triples.