hybrid-search-implementation

$npx mdskill add benjaminasterA/antigravity-awesome-skills/hybrid-search-implementation

Combine vector and keyword search to enhance retrieval in RAG systems and search engines

  • Identify tasks requiring improved recall through hybrid search.
  • Utilize relevant APIs for vector similarity and keyword matching.
  • Decide on the optimal balance of vector and keyword search based on query specifics.
  • Deliver results by integrating both approaches to provide comprehensive search capabilities.

SKILL.md

.github/skills/hybrid-search-implementationView on GitHub ↗
---
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."
risk: unknown
source: community
---

# 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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