Skill · Data AI
Similarity search patterns
Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.
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 Similarity search patterns 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
Similarity Search Patterns
Patterns for implementing efficient similarity search in production systems.
Use this skill when
- Building semantic search systems
- Implementing RAG retrieval
- Creating recommendation engines
- Optimizing search latency
- Scaling to millions of vectors
- Combining semantic and keyword search
Do not use this skill when
- The task is unrelated to similarity search patterns
- 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.