# Similarity Search Patterns

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

- Skill: `nous-hermeshub/similarity-search-patterns` (Agent Skill)
- Install (CLI): `npx skillmds add nous-hermeshub/similarity-search-patterns`
- Raw SKILL.md: https://api.skillmd.com/api/skills/nous-hermeshub/similarity-search-patterns/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: MIT
- Author: nous-hermeshub (https://skillmd.com/u/nous-hermeshub)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/nous-hermeshub/similarity-search-patterns

---


# 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.

## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.