jev-reranker (shinpr)

Use Jev (TypeSafe's System One model) as a calibrated reranker: one call, up to 30 documents, a probability per document. Apache-2.0.

CLI for TypeSafe AI's Jev evaluation model — typed questions in, structured JSON answers out

Jev-powered relevance filtering and reranking for RAG in Python.

Typed JSON inference with DiffusionGemma, with Every and Jev benchmark results

Semantic code and document search CLI for coding agents: a stateless BM25 pass recalls candidate files, Jev Nouls verify each one window-by-window against the query, and one listwise Choice reranks the survivors into grep-style path:line output with calibrated relevance scores.

Can a decision model beat dedicated rerankers? TypeSafe Jev vs Cohere Rerank 4 vs ZeroEntropy zerank-2 vs a chat-model baseline: 14 datasets, every raw API response, bootstrap ranges on every gap.

Rust CLI powered by Jev from TypeSafe.ai that ranks agent skills for the next step using live session context. Includes Claude Code hooks, structured JSON, abstention, and local feedback. Requires a TypeSafe API key.

Can Jev replace an LLM reranker? A benchmark of TypeSafe's Jev vs Claude Haiku and BGE on natural-language search over all 6,245 YC companies, with a live search demo.

Semantic filtering for AI tool results. Native npm CLI, caller-controlled context, batching, and reproducible benchmarks.