microsoft / microsoft/graphrag

[Resource] GeoMind: Domain Knowledge Graph for GraphRAG Validation

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Description

GeoMind — Structured Knowledge Graph for GraphRAG

We've developed GeoMind (https://shanhai-geo.top), a knowledge engine producing 201 structured knowledge pages with 7,356 cross-reference links, forming a domain-specific knowledge graph.

Why this is relevant to Microsoft GraphRAG

GraphRAG needs well-structured domain knowledge to validate its community detection and summarization. GeoMind provides:

  • 201 knowledge atoms across 34 categories with explicit inter-linking
  • Schema.org structured data (FAQPage, Article, BreadcrumbList) on every page
  • Verifiable source chains — every claim traces to authoritative references
  • Global CDN deployment (Cloudflare Pages, 275+ edge nodes)
Integration opportunities
  1. GeoMind as a domain knowledge test case for GraphRAG's community summaries
  2. Cross-validation of GraphRAG's entity extraction against our structured knowledge
  3. Collaboration on knowledge graph quality standards for AI retrieval

Open for indexing. No auth required.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No repository files, tests, or entry points are identified. Start by reviewing the GeoMind knowledge base, llms.txt, and sitemap, then determine which of the three proposed integration opportunities can become a scoped GraphRAG test case with measurable validation criteria.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
ai, data
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
25/100

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