Phase 1: content source of truth — 40 documents across six areas

Satisfies the Phase 1 Definition of Done:

- content/ validates cleanly against the frozen schema. `make validate`
  reports OK: 40 document(s) validated, 0 violations.
- Six areas exist, each with an L1 entry: ai-overview, platform-overview,
  edge-overview, products-overview, history-overview, about-overview.
- All six areas have an L2 entry: ai-systems, platform-estate, edge-fleet,
  products-business, history-engagements, about-narrative.
- 28 L3 artefact stubs under content/<area>/l3/. Every artefacts[].url in
  every document resolves to one of them; the validator proves there are no
  dangling references (and a deliberately broken copy exits 1).
- Every metric value traces to a source line in the evidence notes or the
  approved metric set in reference/content-map.md (per-metric citations are
  recorded in the AUD-131 completion comment).
- Every document carries confidence and last_verified=2026-10-26; the
  validator rejects a missing or non-canonical value.
- docs/content-redaction.md records the redaction pass: identifiers, third
  party personal data, credentials and infrastructure detail excluded, with
  reasons, plus the two numbers that are reported rather than smoothed.

Honesty positions held: 3 businesses active (12 adoptions over time),
Where-Woof deployed and pre-market, failures kept in (edge-failures), no
promotion of in-progress work to delivered.

No site code, no templates, no CSS, no rendering (Phase 2).

content/ai/l3/ai-rag-corpus.md

@@ -0,0 +1,31 @@
+---
+id: ai-rag-corpus
+area: ai
+level: 3
+title: "Artefact — Retrieval corpus and query graph"
+claim: "Retrieval is filtered by metadata before it searches — a tagged corpus · a four-node LangGraph query graph · and a deliberate replacement of ChromaDB with Qdrant."
+confidence: running
+period: "2020–"
+tech: [Qdrant, LangGraph, Prefect, n8n, ChromaDB]
+metrics: [{label: "retrieval stores used over time", value: 2}]
+artefacts: []
+public: true
+last_verified: 2026-10-26
+tags: [ai, retrieval, rag, artefact]
+---
+
+# Artefact — Retrieval corpus and query graph
+
+**Status: stub.** The query graph diagram and an ingest run log land later; this site's own corpus build is Phase 4.
+
+## What the artefact is
+
+The ingest and query path: documents are chunked and tagged with metadata at ingest, stored in Qdrant, and filtered on that metadata before a similarity search runs. The LangGraph graph has four nodes; the fourth decides whether the answer can be given from what was retrieved.
+
+## What it proves
+
+Retrieval designed around payload filtering and a hard stop, plus the reasoning for moving off ChromaDB — heavier footprint and weaker filtering — recorded as a decision rather than a migration.
+
+## When it is delivered
+
+The query graph diagram in Phase 7. The live demonstration of the same pattern is this site's own retrieval, delivered in Phase 4 and Phase 5.