— name: similarity-search-patterns description: "Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance." risk: safe source: community date_added: "2026-02-27" — # Similarity Search Patterns Patterns for implementing efficient similarity search in production systems. ## Use this skill when – Building semantic search systems – Implementing RAG retrieval – Creating recommendation engines – Optimizing search latency – Scaling to millions of vectors – Combining semantic and keyword search ## Do not use this skill when – The task is unrelated to similarity search patterns – You need a different domain or tool outside this scope ## Instructions – Clarify goals, constraints, and required inputs. – Apply relevant best practices and validate outcomes. – Provide actionable steps and verification. – If detailed examples are required, open `resources/implementation-playbook.md`. ## Resources – `resources/implementation-playbook.md` for detailed patterns and examples. ## Limitations – Use this skill only when the task clearly matches the scope described above. – Do not treat the output as a substitute for environment-specific validation, testing, or expert review. – Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.