Verified claim · AI-ML · 100% confidence
GraphRAG introduced in: Edge et al. 2024 — Microsoft Research knowledge-graph RAG.
Last verified 2026-05-16 · Methodology veritas-v0.1 · 58a9c41f05c73a22
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Structured fields
- Subject
- GraphRAG
- Predicate
introduced_in- Object
- Edge et al. 2024 — Microsoft Research knowledge-graph RAG
- Confidence
- 100%
- Tags
- graphrag · microsoft · rag · knowledge-graph · foundational · 2024 · introduced_in
Sources (2)
[1] preprint · arXiv (Edge, Trinh, Cheng, Bradley, Chao, Mody, Truitt, Larson / Microsoft Research) · 2024-04-24
From Local to Global: A Graph RAG Approach to Query-Focused Summarization“To combine the strengths of these contrasting methods, we propose GraphRAG, a graph-based approach to question answering over private text corpora that scales with both the generality of user questions and the quantity of source text.”
[2] github release · Microsoft Research · 2024-07-02
GraphRAG — official Microsoft Research repository
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GraphRAG introduced in: Edge et al. 2024 — Microsoft Research knowledge-graph RAG. — SourceScore Claim 58a9c41f05c73a22 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/58a9c41f05c73a22.jsonEmbed this claim
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Yes — SourceScore verified this claim with 100% confidence as of 2026-05-16. The verification uses 2 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.
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Evidence comes from 2 primary sources: arXiv (Edge, Trinh, Cheng, Bradley, Chao, Mody, Truitt, Larson / Microsoft Research), Microsoft Research. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/58a9c41f05c73a22.json includes an HMAC-SHA256 signature for audit verification.
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Last verified 2026-05-16 under methodology version veritas-v0.1. The signed JSON envelope is dated and cryptographically signed for audit trail. Re-verification cadence depends on the claim type and source freshness.
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cURL
curl https://sourcescore.org/api/v1/claims/58a9c41f05c73a22.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/58a9c41f05c73a22.json");
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// "GraphRAG introduced in: Edge et al. 2024 — Microsoft Research knowledge-graph RAG."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/58a9c41f05c73a22.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "GraphRAG introduced in: Edge et al. 2024 — Microsoft Research knowledge-graph RAG."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_graphrag_fact() -> dict:
"""Fetch the verified SourceScore claim for GraphRAG."""
r = httpx.get("https://sourcescore.org/api/v1/claims/58a9c41f05c73a22.json")
return r.json()