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testland/hybrid-search-eval-author

Use when a search system combines keyword (BM25) and vector retrieval, with or without a reranker, and needs numbers: judgment sets, nDCG@k and MRR on fused results, Reciprocal Rank Fusion vs weighted fusion vs single-stage, and whether the reranker earns its latency.

Quality

91%

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

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No evals yet.

The owner of this plugin can generate scenarios and run an eval with the Tessl CLI.

tessl scenario generate
tessl eval run
Read the evals guide