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hybrid-search-implementation

hybrid-search-implementation

github.com/sickn33Data & databases48.9k168 installsUpdated today
Repository

About hybrid-search-implementation

A practical guide to implementing hybrid search by combining vector similarity with keyword matching. It is for teams building RAG and domain-specific search where semantic retrieval alone may miss exact terms.

Key features

  1. 01Vector and keyword search patterns
  2. 02Guidance for improving recall
  3. 03Exact-term query handling
  4. 04Domain vocabulary search advice

Use cases

  1. 01Improve recall in RAG systems
  2. 02Match names and codes exactly
  3. 03Search domain-specific terminology

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/sickn33/agentic-awesome-skills --skill hybrid-search-implementation

After installing, type/hybrid-search-implementationin Claude Code to confirm it loaded.

Bundled filesresources/implementation-playbook.md

Details

From the project README

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.

Comments

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