Repo · Search & RAG

Search with Jev and Milvus

Nine runnable notebooks combine Gemini embeddings and Milvus retrieval with Jev judgments for reranking, filtering, search stopping, routing, cache…

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How builders describe it

Nine runnable notebooks combine Gemini embeddings and Milvus retrieval with Jev judgments for reranking, filtering, search stopping, routing, cache reuse, curation, guardrails, and evaluation.

The decision Jev makes

Rank candidates against a query, or answer whether a passage is relevant.

Where it fits

Search pipelines retrieve too much. These projects use Jev as a reranker or relevance check after the first search, so only useful results reach the user or the model. All 56 search & rag projects →

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