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hybrid-search-implementation

★ 41K repouiSafeIntermediateClaude
🤖 AI Summary

Implements hybrid search by merging vector (semantic) and keyword (BM25/full-text) retrieval results, typically using reciprocal rank fusion (RRF) or weighted scoring, to improve recall in RAG systems and search engines.

How to Install

Claude Code:
git clone --depth 1 https://github.com/sickn33/antigravity-awesome-skills.git && cp antigravity-awesome-skills/skills/hybrid-search-implementation ~/.claude/skills/hybrid-search-implementation -r

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.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Details

Category Design → ui
Sourcesickn33/antigravity-awesome-skills
SKILL.mdView on GitHub →
Repo Stars★ 41.5K
Est. per Skill47 (shared across 868 skills from this repo)
DifficultyIntermediate
Risk LevelSafe

Related Skills

Works Well With

Skills from the same repository — often designed to work together