Hybrid Search Implementation

If you're building RAG systems or search engines where pure vector similarity keeps missing exact matches, this combines semantic and keyword approaches to improve recall. It's especially useful when you need to handle queries with specific terminology like product codes, names, or domain jargon that embeddings alone struggle with. The skill includes a playbook with implementation patterns, though the real value is in knowing when to reach for hybrid search versus committing fully to one approach. Honest take: the combining strategies matter more than the individual components, and this gives you a framework to think through those tradeoffs rather than just bolting two systems together.