similarity-search-patterns

Quick Review

Excellent skill that provides comprehensive, production-ready implementations for similarity search across four major vector databases (Pinecone, Qdrant, pgvector, Weaviate). The description clearly indicates when to use this skill, and the content delivers complete code templates with proper error handling, batch operations, hybrid search, and reranking. Structure is clear with logical sections covering concepts, templates, and best practices. The skill demonstrates strong task knowledge with practical examples of distance metrics, index types, and optimization patterns. Novelty is solid—while vector search concepts are established, implementing production-grade patterns across multiple databases with nuances like quantization, HNSW tuning, and hybrid search would require significant tokens and expertise from a CLI agent. Minor improvement areas: could add performance benchmarking examples or troubleshooting patterns, and the index types comparison could include more guidance on when to switch between them.