Ha Trinh

Nov 25, 2024 | microsoft.com | Darren Edge |Ha Trinh |Jonathan Larson |Brenda Potts

The GraphRAG project (opens in new tab) aims to expand the class of questions that AI systems can answer over private datasets by leveraging the implicit relationships within unstructured text. A key advantage of GraphRAG over conventional vector RAG (or “semantic search”) is its ability to answer global queries that address the entire dataset, such as “what are the main themes in the data?”, or “what are the most important implications for X?”.