Skill · AI Ml
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.
How to use it
- Start your plan and connect your AI once
- Ask for the task in your own words, or say it directly:
Use the Hybrid search implementation skill to help me with this.Without a connection: copy the SKILL.md below into your AI's project instructions.
SKILL.md2 files in this skill
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.