34 lines
1.0 KiB
Markdown
34 lines
1.0 KiB
Markdown
---
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name: similarity-search-patterns
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description: Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.
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---
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# Similarity Search Patterns
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Patterns for implementing efficient similarity search in production systems.
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## Use this skill when
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- Building semantic search systems
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- Implementing RAG retrieval
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- Creating recommendation engines
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- Optimizing search latency
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- Scaling to millions of vectors
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- Combining semantic and keyword search
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## Do not use this skill when
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- The task is unrelated to similarity search patterns
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- You need a different domain or tool outside this scope
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## Instructions
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- Clarify goals, constraints, and required inputs.
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- Apply relevant best practices and validate outcomes.
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- Provide actionable steps and verification.
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- If detailed examples are required, open `resources/implementation-playbook.md`.
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## Resources
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- `resources/implementation-playbook.md` for detailed patterns and examples.
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