- Status
- NEW RESEARCHED DESIGN; not deployed
- Reviewed
- 2026-09-12
- Nature
- published algorithmic method
- Priority
- P2
- Accountability
- R10, R21
Question
Which vectors are approximately close under a specified representation and metric?
Nodes
Vector; Text/entity record; Model version; Neighbor relation
Relationship sketch
- vector → source record
- vector → approximate neighbor
Evidence inputs
Actual embedding model/version, dimension, similarity metric, indexed corpus, measured retrieval results.
Implementation
Keep an ANN index such as HNSW conceptually separate from the semantic fact graph. Record model changes and compare candidate retrieval against labeled relevant passages.
Acceptance checks
- Embedding/version metadata is recorded
- Approximate retrieval is evaluated on task examples
- Similarity does not auto-merge entity identities
Do not infer
Nearest-neighbor proximity is not a factual predicate or proof that one statement supports another.
Publication boundary
Private search infrastructure unless explicitly published.
Source basis
S26, S24. See Research/sources.json. Sources support the primitives or named technology. The organization, labels, actions, and acceptance contracts in this catalog are this library's design, not claimed provider requirements.
