Agent skill · research science · aiskillstore
similarity-search-patterns
Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.
Why this skill is useful
Provides domain-specific knowledge on implementing efficient similarity search patterns that the AI wouldn't reliably generate on its own.
What it needs
About 1k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
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.
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/similarity-search-patterns