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.

Published by @sickn33 and contributors·from sickn33/antigravity-awesome-skills·0 agent reads / 30d·0 saves·

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.

Bundled with this artifact

3 files

Reference files that ship alongside this artifact. Agents pull these in only when the task needs them.

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