Community project / Client libraries and integrations
LlamaIndex Jev
Unofficial LlamaIndex reranker and query-engine selector on the official Python SDK: Jev scores retrieved passages and chooses which tool handles a query; score mode is a 0–3 rubric, not cosine similarity.
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TypeScript SDK that exposes Jev as a third inference type alongside generate and stream, declared per provider through an inferenceKinds field rather than inferred from behaviour, and consumes it internally for model routing, context compaction, MCP tool selection, and RAG planning; every internal caller uses a fail-open wrapper that returns null on any failure, so with no key configured the library behaves exactly as it did before, and it is not affiliated with TypeSafe AI.
PostgreSQL extension for Jev-powered WHERE predicates, probabilities, Choice, and Score over table rows; it batches rows, caches answers per session, and offers optional query spend caps. Every judged row goes to TypeSafe, and installation needs plpython3u and superuser access, which many managed Postgres hosts do not provide.
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