# 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. Use when this capability is needed. - Skill: `tomevault-io/hybrid-search-implementation-3` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/hybrid-search-implementation-3` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/hybrid-search-implementation-3/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/hybrid-search-implementation-3 --- # 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. --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/sickn33) — claim your Tome and manage your conversions.