semantic_search

shallow

io.github.lazymac2x/embedding-search · Verify this server

Rank a list of documents against a query using cosine similarity of bge embeddings. Returns top-k matches with scores.

100.0/100

1 trials · measured 8 days ago

semantic_search scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.lazymac2x/embedding-search, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
self-provisionable
Category
Developer infrastructure
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-08-25100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

Embed this score

Available for every tool, scored or not — not a verification perk. Always links back to this page.

Vouch score: semantic_search
[![Vouch score](https://vouch.tools/api/tools/ebe29c15-2ec6-4378-bb4f-1c69fbcab7f4/badge.svg)](https://vouch.tools/tools/ebe29c15-2ec6-4378-bb4f-1c69fbcab7f4)
semantic_search — Vouch