# Similarity Search Patterns

> Implement efficient similarity search with vector databases.

Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.

- Page: https://ss33.ai/skills/dokhacgiakhoa/similarity-search-patterns-85235896993
- Publisher: dokhacgiakhoa
- Category: [Data & Analytics](https://ss33.ai/skills/category/data-and-analytics-m1r3i9) › [Databases & SQL](https://ss33.ai/skills/category/data-and-analytics-m1r3i9/databases-and-sql-f7srkv)
- License: MIT
- Source: https://github.com/dokhacgiakhoa/agent-skills-4-vibe-coding-cli/blob/c4a059bbf7a8d6b2162071f0fbfe74053faa6d20/.agent/skills/similarity-search-patterns/SKILL.md

## Skill

SKILL.md: https://ss33.ai/api/v1/ss33/download/dokhacgiakhoa/similarity-search-patterns-85235896993

# 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.md` for detailed patterns and examples.


## 🧠 Knowledge Modules (Fractal Skills)

### 1. [implementation-playbook](./sub-skills/implementation-playbook.md)