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.
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
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.