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.]