Microsoft research introduces GraphRAG for business AI

The author argues that GraphRAG significantly outperforms traditional RAG for business AI applications by storing knowledge as interconnected entities and relationships rather than disconnected text fragments. While GraphRAG offers superior performance on multi-step reasoning and broad summaries, it involves substantially higher indexing and processing costs, though newer lightweight implementations are reducing that overhead. Open article →