News & features
GraphRAG auto-tuning provides rapid adaptation to new domains
| Alonso Guevara Fernández, Katy Smith, Joshua Bradley, Darren Edge, Ha Trinh, Sarah Smith, Ben Cutler, Steven Truitt, and Jonathan Larson
GraphRAG uses LLM-generated knowledge graphs to substantially improve complex Q&A over retrieval-augmented generation (RAG). Discover automatic tuning of GraphRAG for new datasets, making it more accurate and relevant.
GraphRAG: New tool for complex data discovery now on GitHub
| Darren Edge, Ha Trinh, Steven Truitt, and Jonathan Larson
GraphRAG, a graph-based approach to retrieval-augmented generation (RAG) that significantly improves question-answering over private or previously unseen datasets, is now available on GitHub.
Research Focus: Week of May 27, 2024
How can generative AI tools represent less common identities and narratives; Can LLMs help players participate in game narratives; Using LLMs to improve geospatial demographic data; A Graph RAG Approach to Query-Focused Summarization; and more.
GraphRAG: Unlocking LLM discovery on narrative private data
| Jonathan Larson and Steven Truitt
Editor’s note, Apr. 2, 2024 – Figure 1 was updated to clarify the origin of each source. Perhaps the greatest challenge – and opportunity – of LLMs is extending their powerful capabilities to solve problems beyond the data on which…