{
  "@context": "https://schema.org",
  "@type": "TechArticle",
  "@id": "https://anchorfact.org/kb/kb-2026-00019",
  "headline": "GraphRAG (Microsoft)",
  "description": "GraphRAG is a structured, hierarchical approach to Retrieval-Augmented Generation developed by Microsoft Research, open-sourced on July 2, 2024. Unlike standard RAG which retrieves flat text chunks via vector similarity, GraphRAG constructs a knowledge graph from raw text, detects communities using graph algorithms, and generates hierarchical summaries at multiple levels. This enables both local (entity-level) and global (dataset-level) query understanding. As of May 2026, the open-source repository has 33,157 GitHub stars and is deployed in Microsoft Discovery, an Azure-based agentic platform for scientific research.",
  "dateCreated": "2026-05-22T14:59:47.496Z",
  "dateModified": "2026-05-22T14:59:47.496Z",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "human_only",
  "citation": []
}