Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.
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Use hybrid-search-implementation to design a hybrid vector-and-keyword retrieval approach for [RAG corpus], optimized for [query types] and [success metric].
Required inputs
[RAG corpus]
[query types]
[success metric]
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SKILL.md
name: hybrid-search-implementationdescription: "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: safesource: communitydate_added: "2026-02-27"
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.
hybrid-search-implementation by sickn33 · The Skill Leaderboard