ranbot-ai/hybrid-search-implementation
skills/hybrid-search-implementation/SKILL.md
Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.
$ install --global
skillsauthnpx skillsauth add ranbot-ai/awesome-skills hybrid-search-implementationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- hybrid-search-implementation
- description:
- Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.
- category:
- AI & Agents
- source:
- antigravity
- tags:
- [ai, rag]
- url:
- https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/hybrid-search-implementation
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.mdfor 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.
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