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Knowledge Graph Vision

Docusaurus (this site) is the first layer: Markdown documents, human-readable, git-versioned. It is not the end state.

Long-term progression​

Documents
    ↓
Structured knowledge
    ↓
Knowledge graph
    ↓
AI operational agents
    ↓
Forest operations intelligence platform

Each stage builds on the one before it: documents need to accumulate and stabilize into consistent structure (claims with provenance, consistent entities and terminology) before a knowledge graph is worth building, and a knowledge graph needs to exist before operational agents have anything grounded to reason over.

Candidate entity model​

A first sketch of the entities an eventual knowledge graph would need to relate:

Forest parcel
    |
Species
    |
Ecological condition
    |
Intervention
    |
Contractor
    |
Equipment
    |
Timeline
    |
Outcome

This is a starting hypothesis for the schema, not a finalized data model — it should get revised as operations research clarifies what a real restoration project's data actually looks like.

Relationship to the phased stack​

See phased stack for how this maps to the actual technology progression (Docusaurus → Postgres/pgvector/PostGIS → knowledge graph + agents + GIS).