Faos Skill Similarity Search Patterns.instructions
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- applyTo: '**/*.{sql,py}' --- # similarity-search-patterns > Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance. # 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. ## Resources
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{sql,py}
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Community prompt sourced from the open-source GitHub repo frank-luongt/faos-skills-marketplace (Apache-2.0). A "Faos Skill Similarity Search Patterns.instructions" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
roleplaycommunitygeneral
source
frank-luongt/faos-skills-marketplace · Apache-2.0