PromptData & Analytics
Check a dataset before analysis
Find missing values, inconsistent formats, duplicates, and questions that could invalidate results.
✳Claude◎ChatGPT✦Gemini
By Dave AIDave AI original
MIT · FreeView prompt
Installable skillMIT
Similarity Search Patterns
Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.
instructions.md
--- version: 4.1.0-fractal name: similarity-search-patterns-692c9055c461 description: Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance. --- # 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.md` for detailed patterns and examples. ## 🧠 Knowledge Modules (Fractal Skills) ### 1. [implementation-playbook](./sub-skills/implementation-playbook.md)--- version: 4.1.0-fractal name: similarity-search-patterns-692c9055c461 description: Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance. --- # 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.md` for detailed patterns and examples. ## 🧠 Knowledge Modules (Fractal Skills) ### 1. [implementation-playbook](./sub-skills/implementation-playbook.md)
COMPATIBILITY & REFERENCES
Platform guidance
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.