# Hybrid Search Implementation

> Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.

- Skill: `rootcastleco/hybrid-search-implementation` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add rootcastleco/hybrid-search-implementation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/rootcastleco/hybrid-search-implementation/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: rootcastleco (https://skillmd.com/u/rootcastleco)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/rootcastleco/hybrid-search-implementation

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# Hybrid Search Implementation

Patterns for combining vector similarity and keyword-based search.

## Use this skill when

- Building RAG systems with improved recall
- Combining semantic understanding with exact matching
- Handling queries with specific terms (names, codes)
- Improving search for domain-specific vocabulary
- When pure vector search misses keyword matches

## Do not use this skill when

- The task is unrelated to hybrid search implementation
- 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.

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> 🏰 **Rei Skills** — Curated by [Rootcastle Engineering & Innovation](https://www.rootcastle.com) | Batuhan Ayrıbaş  
> Engineering Beyond Boundaries | admin@rootcastle.com