similarity-search-patterns
Description
Implement efficient similarity search with vector databases. Use when building semantic search or nearest neighbor queries.
How to Use
- Visit the GitHub repository to get the SKILL.md file
- Copy the file to your project root or .cursor/rules directory
- Restart your AI assistant or editor to apply the new skill
Full Skill Documentation
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.
Tags
About similarity-search-patterns
similarity-search-patterns is an AI skill in the rag-search category, designed to help developers and users work more effectively with AI tools. Implement efficient similarity search with vector databases. Use when building semantic search or nearest neighbor queries.
This skill has earned 5,200 stars on GitHub, reflecting strong community adoption and trust. It is compatible with claude, codex.
Key Capabilities
Why Use similarity-search-patterns
Adding similarity-search-patterns to your AI workflow can significantly enhance your productivity in rag-search tasks. With pre-defined prompt templates and best practices, this skill helps AI assistants better understand your requirements and deliver more accurate responses.
Whether you use claude or codex, you can easily integrate this skill into your existing development environment.
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