similarity-search-patterns
Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.
- Skills
- General
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What it does and how to use it
A skill that teaches Claude Code to do general tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
- No commands to memorize: you talk in plain language and the skill does the rest.
Install (Claude Code)
mkdir -p .claude/skills/wshobson-agents__similarity-search-patterns && curl -fsSL https://doutorai.pt/data/lib/skills__wshobson-agents__similarity-search-patterns.md -o .claude/skills/wshobson-agents__similarity-search-patterns/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
---
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.
## When to Use This Skill
- Building semantic search systems
- Implementing RAG retrieval
- Creating recommendation engines
- Optimizing search latency
- Scaling to millions of vectors
- Combining semantic and keyword search
## Core Concepts
### 1. Distance Metr
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