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From Local to Global: A Graph RAG Approach to Query-Focused Summarization research paper by Microsoft, 2024

Microsoft · Apr 24, 2024 · Retrieval and data · 2,191 citations · 7 upvotes

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What it shows

GraphRAG builds a knowledge graph of a document set so a model can answer questions about the whole collection.

Summarised by hand from the abstract.

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About this paper
Authors
Darren Edge, Ha Trinh, Newman Cheng and 5 more
arXiv
2404.16130 · PDF
Venue
arXiv.org
Citations
2,191, 302 influential · Semantic Scholar
Upvotes
7 · Hugging Face
Lab
Microsoft · on Companies · on Acquisitions · on Quarterly · on Paydays · on Releases · on TechConf

Changes

What changed
New paperAdded to the listSep 24, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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