similarity-search-patterns
Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.
- License 许可
- Apache-2.0
- 最近更新
- 2026-11-12
- Stars
- ★ 13
- Forks
- 2
01 前言 Front Matter
- name
- similarity-search-patterns
- risk
- safe
- source
- community
- date_added
- 2026-02-27
- description
- Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.
02 资源文件 1
- 参考文档resources/implementation-playbook.md17.5 KB
03 SKILL.md 正文
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.mdfor detailed patterns and examples.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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