# Hybrid Search Implementation

> <!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT -->

- Skill: `frank-luongt/hybrid-search-implementation` (Agent Skill)
- Install (CLI): `npx skillmds@latest add frank-luongt/hybrid-search-implementation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/frank-luongt/hybrid-search-implementation/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: frank-luongt (https://skillmd.com/u/frank-luongt)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/frank-luongt/hybrid-search-implementation

---

<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT -->
---
name: hybrid-search-implementation
description: Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.
tags: [ai, search]
---

# 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.

## Resources


<!-- Source: .faos/custom/skills/ai-ml/hybrid-search-implementation/SKILL.md -->