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GraphRAG
Combining RAG with a structured knowledge graph to extract entities, relationships, and community summaries across complex datasets.
Why it exists
Flat vector search struggles with global questions like 'What are the main themes across all 500 transcripts?'.
How it works
Extracts entities and relationships into a graph, detects hierarchical communities, generates multi-level text summaries, and searches both graph nodes and vectors.
Related terms
Where you'll use this
roadmap