search_multi_hop

shallow

io.github.inite-ai/inite-brain-service · Verify this server

Planner-LLM decomposes the query into ≤ maxHops anchored sub-queries; later hops are anchored to the running entity set so the engine never spends compute on candidates already disqualified. Built for questions that combine evidence across turns / sessions, or that require reasoning over multiple entities ("tenants who complained in April AND upgraded after"). Set synthesize=true to get a grounded answer with citations alongside the per-hop trace. Returns finalEntityIds + supportingFactIds (HotpotQA-style evidence chain) so the caller can audit which facts drove the answer. Embedding model on this tenant: set per workspace.

100.0/100

1 trials · measured 2 days ago

search_multi_hop scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.inite-ai/inite-brain-service, measured 20 Oct 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
gated
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-10-20100.0shallowv0.2.0

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.

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Vouch score: search_multi_hop
[![Vouch score](https://vouch.tools/api/tools/70707a08-75ce-412a-ac5a-221cbe614a7a/badge.svg)](https://vouch.tools/tools/70707a08-75ce-412a-ac5a-221cbe614a7a)
search_multi_hop — Vouch