From Local to Global: A Graph RAG Approach to Query-Focused Summarization
by Microsoft Research · open-source · Last verified 2026-03-17
Presents GraphRAG, which uses LLM-generated knowledge graphs and community detection to enable query-focused summarization over entire text corpora. Unlike standard RAG which answers local questions from text chunks, GraphRAG enables global sensemaking queries by reasoning over interconnected entity communities at multiple granularities.
https://arxiv.org/abs/2404.16130 ↗C+
C+—Average
Adoption: AQuality: AFreshness: B+Citations: FEngagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- knowledge-graph, global-summarization, community-detection, query-focused-summarization
- Integrations
- Use Cases
- corpus-sensemaking, global-qa, knowledge-graph-construction, research
- API Available
- No
- Tags
- rag, knowledge-graph, graph, summarization, community-detection
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
50Adoption
82
Quality
88
Freshness
76
Citations
0
Engagement
0