G
ENT-00001512 · RAG Method

GraphRAG

GraphRAG is a graph-based retrieval augmented generation associated with Microsoft.

Level IV — ConnectedActiveConnected
Human readable record

Overview

GraphRAG is a documented AI model or assistant-related entity associated with Microsoft. The record focuses on its public identity, release context, capability class, source lineage and relationship to adjacent model or product families.

Timeline

  1. 2024GraphRAG public documentation anchor

    GraphRAG appears in public documentation or stable reference sources as a graph-based retrieval augmented generation associated with Microsoft.

Capabilities

RetrievalVector searchKnowledge graph support

Known limitations

The record describes the public identity and documented role of the entity, not private implementation details.Capabilities depend on version, deployment context, access conditions and the available public documentation.
Technical and registry detail

Technical description

Structured record for GraphRAG. The technical layer identifies entity type, classification, creator or organization, public source anchors, timeline entry, capabilities, limitations, registry status and graph relationships. Source anchor: https://microsoft.github.io/graphrag/.

Controlled tags

RAGVector SearchAI Infrastructure
Relationship graph
GraphRAG
Associated organizationMicrosoft

GraphRAG is associated with Microsoft through its documented source context.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001512",
    "name": "GraphRAG",
    "alternateName": [],
    "additionalType": "RAG Method",
    "description": "GraphRAG is a graph-based retrieval augmented generation associated with Microsoft.",
    "creator": "Microsoft Research",
    "url": "entity.php?id=ENT-00001512",
    "sameAs": "https://microsoft.github.io/graphrag/",
    "lxkeysWorld": {
        "classification": "graph-based retrieval augmented generation",
        "organization": "Microsoft",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2024",
        "currentStatus": "Active",
        "registryStatus": "Connected",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:28+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:28+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:28+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Retrieval",
            "Vector search",
            "Knowledge graph support"
        ],
        "limitations": [
            "The record describes the public identity and documented role of the entity, not private implementation details.",
            "Capabilities depend on version, deployment context, access conditions and the available public documentation."
        ],
        "tags": [
            "RAG",
            "Vector Search",
            "AI Infrastructure"
        ],
        "timeline": [
            {
                "date": "2024",
                "title": "GraphRAG public documentation anchor",
                "description": "GraphRAG appears in public documentation or stable reference sources as a graph-based retrieval augmented generation associated with Microsoft."
            }
        ],
        "relationships": [
            {
                "target": "Microsoft",
                "type": "Associated organization",
                "description": "GraphRAG is associated with Microsoft through its documented source context.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "GraphRAG documentation",
                "url": "https://microsoft.github.io/graphrag/",
                "source_type": "Official Documentation",
                "verification_status": "verified"
            }
        ]
    }
}
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