jev-search-rerank-eval

Name: jev-search-rerank-eval
Availability: InStock
Author: zhuyansen

Retrieval evaluation system measuring Jev reranking against lexical, embedding, and fusion baselines across 9,831 query-document pairs.

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Last updated: September 23, 2026

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git clone https://github.com/zhuyansen/jev-search-rerank-eval.git

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jev-search-rerank-eval

Retrieval evaluation system measuring Jev reranking against lexical, embedding, and fusion baselines across 9,831 query-document pairs.

Where Jev makes the decision

Invokes Jev judges to grade multi-level relevance on bilingual queries, evaluating ranking metrics and judge-circularity effects.

Why it matters

Provides rigorous empirical evidence comparing discrete judgment rerankers against vector search in multilingual discovery contexts.

Claims & evidence

Source code verified against pinned commit. Complete evaluation suite and CLI inspected; benchmarked on Agent Skills Hub data.

About Jev

Jev is TypeSafe AI's System One decision model: it returns typed scores and choices (not free text), so agents can route, filter and gate at low latency and cost.

Source: zhuyansen/jev-search-rerank-eval — 6 stars, MIT. Listed by Awesome Jev.

jev-search-rerank-eval

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dbt Unit Tests (dbt Labs)

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jev-search-rerank-eval

Where Jev makes the decision

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