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最佳实践，涵盖语义搜索、RAG检索、推荐引擎构建及性能优化，旨在帮助开发者高效实现高并发、低延迟的向量检索系统。
触发场景
构建语义搜索系统
实现RAG检索流程
创建推荐引擎
优化搜索延迟与扩展性
安装
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.
版本历史
- e63f7dd 当前 2026-07-05 09:38
