GraphRAG is Quietly Becoming AI’s Next Big Leap

AI has long faced challenges around trust. Vector search can find documents that look similar, but it often fails when connections between entities matter most. Graph-based Retrieval Augmented Generation, or GraphRAG, is emerging as a way to fix this by combining semantic search with graph reasoning. The approach does more than retrieve results. It shows how entities are linked, making outputs both accurate and explainable. For enterprises facing pressure to justify AI decisions, this hybrid of vectors and graphs is gaining attention. Siddhant Agarwal, developer relations lead for APAC at Neo4j, and Bhanu Jamwal, head of India business at TiDB, believe that GraphRAG represents a shift in mindset as much as in technology. While they agree on its potential, they differ on how steep the