semantic_search
shallowdev.whiteintel/whiteintel · Verify this server
Meaning-based entity search (BGE-M3 vector ANN over the resolved dossier cards). Finds companies/people whose profile is semantically closest to a natural-language query even without a keyword match. Optional kind + jurisdiction filters. COVERAGE IS PARTIAL — the risk-scored subset of the corpus is embedded so far (~1.9% and growing with the backfill); a thin or empty result is NOT proof the entity is unknown, so pair with search_entities (lexical/name) before concluding an entity does not exist.
1 trials · measured 8 days ago
semantic_search scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against dev.whiteintel/whiteintel, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote + stdio
- Credential class
- open
- Category
- Legal & government
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-25 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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