Skill

hybrid-search-implementation

Combines vector similarity and keyword search for improved retrieval in RAG systems, search engines, or when single methods lack recall or precision.

ai-ml

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This skill uses the workspace's default tool permissions.

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Patterns for combining vector similarity and keyword-based search.

Supporting Assets

resources/implementation-playbook.md

SKILL.md

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Fuses vector and keyword search results using RRF, linear combination, and reranking for better recall in RAG systems and search engines.

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Stars36383

Forks5961

Last CommitApr 13, 2026

Used By3 plugins

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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.