Agent Skills
› rmyndharis/antigravity-skills
› similarity-search-patterns
similarity-search-patterns
GitHub提供生产级向量数据库相似性搜索的实现模式，适用于语义搜索、RAG检索、推荐系统及性能优化场景。指导如何澄清目标、应用最佳实践并验证结果，必要时参考详细实施手册。
Trigger Scenarios
构建语义搜索系统
实现RAG检索流程
创建推荐引擎
优化搜索延迟
大规模向量扩展
Install
npx skills add rmyndharis/antigravity-skills --skill similarity-search-patterns -g -y
SKILL.md
Frontmatter
{
"name": "similarity-search-patterns",
"description": "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.
- If detailed examples are required, open
resources/implementation-playbook.md.
Resources
resources/implementation-playbook.mdfor detailed patterns and examples.
Version History
- e63f7dd Current 2026-07-05 09:38
