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Antigravity Hybrid Search Implementation

ASecurity

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

2 stars
0 votes
0 copies
0 views
Added 9/19/2026
ai-agentsgo

Security Analysis

A100/100

Scanned 9/19/2026

Install to Claude Code

$npx -y skills add ibragimov-oasis/oasis-languages-jp --skill antigravity-hybrid-search-implementation --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
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: safe
source: community
date_added: "2026-02-27"
tags:
  - domain/skills
  - artifact/skill
  - source/skills-antigravity
---

# 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.

## πŸ”— Бвязи

- [[MOC - Skills]] β€” Skills library
- [[skills/skills-antigravity]] β€” Category: skills-antigravity

Attribution

ibragimov-oasisibragimov-oasis
View sourceMore from ibragimov-oasis β†’
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