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From antigravity-awesome-skills
Implements efficient similarity search patterns with vector databases for semantic search, RAG retrieval, recommendation engines, nearest neighbor queries, and scaling to millions of vectors.
How this skill is triggered — by the user, by Claude, or both
Slash command
/antigravity-awesome-skills:similarity-search-patternsThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Patterns for implementing efficient similarity search in production systems.
Patterns for implementing efficient similarity search in production systems.
resources/implementation-playbook.md.resources/implementation-playbook.md for detailed patterns and examples.npx claudepluginhub sickn33/antigravity-awesome-skills --plugin antigravity-awesome-skillsImplements efficient similarity search with vector databases for semantic search, nearest neighbor queries, RAG retrieval, and recommendation engines. Covers scaling and hybrid search patterns.
<!-- AUTO-GENERATED by export-plugins.py — DO NOT EDIT -->
Implements efficient similarity search with vector databases. Use when building semantic search, nearest neighbor queries, RAG retrieval, recommendation engines, or optimizing retrieval performance.