similarity-search-patterns
Data, Backend & APIImplement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.
Documentation
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.Compétences similaires
Explorez d'autres agents de la catégorie Data, Backend & API
performance-profiling
Performance profiling principles. Measurement, analysis, and optimization techniques.
VOIR LA FICHE
legacy-modernizer
Refactor legacy codebases, migrate outdated frameworks, and
VOIR LA FICHE
database-migration
Execute database migrations across ORMs and platforms with zero-downtime strategies, data transformation, and rollback procedures. Use when migrating databases, changing schemas, performing data transformations, or implementing zero-downtime deployment strategies.
VOIR LA FICHE