claude

agentdb-search

Advanced retrieval — MMR diversity rerank, explainable recall, metadata filters, hybrid (BM25 + dense) search, and the opt-in RaBitQ quantized index (@ruvector/rabitq-wasm).

97 on GitHubby ruvnetv0.2.0MIT OR Apache-2.0updated yesterday
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Plugin agentdb-search from marketplace agentdb in ruvnet/agentdb. Commands read from the repo's manifest — yesterday.

What it installs

Skills (4)

  • agentdb-explainable-recall

    Search with feature attributions — return WHY each match scored where it did. Use when debugging recall quality, auditing for bias, or explaining results to a user.

  • agentdb-hybrid-search

    Hybrid search — BM25 keyword + dense vector fused with Reciprocal Rank Fusion. Use when queries have specific identifiers, code symbols, or proper nouns that pure semantic search might miss.

  • agentdb-mmr

    Maximal Marginal Relevance rerank — get diverse top-k instead of redundant top-k. Use when standard search returns 5 near-duplicates, or when you want broader coverage of a topic.

  • agentdb-quantized-search

    Speed up AgentDB's built-in sql.js vector backend on large collections with the opt-in RaBitQ 1-bit quantized index (@ruvector/rabitq-wasm). Use when SqlJsRvfBackend search gets slow past ~10,000 vectors, when choosing between exact and approximate search for a browser or no-native install, or when

Slash commands (1)

  • /agentdb-search:search

    Smart search across AgentDB — picks hybrid / vector / MMR based on query shape.

View source on GitHub ruv.io

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