Hybrid Search Architect

Name: Hybrid Search Architect
Rating: 5 (8 reviews)
Author: Notysoty

Designs a hybrid retrieval pipeline combining dense vector search and BM25 sparse search with reciprocal rank fusion, and explains when to use each configuration.

8stars

Updated 3 months ago

View on GitHub ↗License: MIT

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Hybrid Search Architect

What this skill does

This skill designs a hybrid search pipeline that combines dense vector search (semantic similarity) with BM25 sparse search (keyword matching). Hybrid search outperforms either method alone on most retrieval benchmarks because vector search handles semantic meaning while BM25 handles exact keyword matches, product names, codes, and rare terms. This skill picks the right combination and fusion strategy for your use case.

How to use

Clau

[Description truncada. Veja o README completo no GitHub.]

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