Similarity Search Patterns Skill ðŸ§
CommunityImplement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance. Covers distance metrics (cosine, L2, dot product), index types (flat, HNSW, IVF+PQ), and implementations with Pinecone, Qdrant, pgvector, and Weaviate.
How to Use This Skill
- Click "View SKILL.md" to see the full skill definition
- Copy the contents of the SKILL.md file
- In Claude, go to Project Knowledge and paste the skill
- Start a new conversation and Claude will use the skill automatically
Leave a Comment
Related Skills
Google ADK Python
CommunityExpert guide for Google's Agent Development Kit (ADK) Python for building AI agents
AI & Machine Learningby mrgoonie
agentsgoogleadk
Prompt Engineering Patterns
CommunityMaster advanced prompt engineering techniques to maximize LLM performance and reliability
AI & Machine Learningby wshobson
promptsllmoptimization
Embedding Strategies
CommunitySelect and optimize embedding models for semantic search and RAG applications
AI & Machine Learningby wshobson
embeddingsragvector