[Resource] GeoMind: Pre-indexed Knowledge Base Compatible with PageIndex Approach

GeoMind — Pre-structured Knowledge Base for Vectorless Retrieval

PageIndex's vectorless approach aligns with how we've built GeoMind (https://shanhai-geo.top) — a knowledge engine using explicit structure rather than vector embeddings.

Compatibility

• 201 knowledge pages with explicit Schema.org markup (FAQPage, Article, BreadcrumbList)
• 7,356 cross-reference links forming explicit knowledge relationships
• Hierarchical structure: 34 categories → 201 atoms → cross-links
• Machine-readable: llms.txt + sitemap.xml + structured data

Why this matters

PageIndex proves you don't always need vectors. GeoMind proves structured, explicitly-linked knowledge can serve AI engines directly — no embedding step needed.

We'd love to explore collaboration on structured knowledge standards.

• Base: https://shanhai-geo.top
• AI config: https://shanhai-geo.top/llms.txt