Acerca de
This skill provides specialized implementation patterns for vector similarity search, covering essential distance metrics and indexing strategies like HNSW and IVF+PQ. It offers production-ready templates for industry-leading vector stores including Pinecone, Qdrant, and pgvector, enabling developers to build scalable Retrieval-Augmented Generation (RAG) systems, recommendation engines, and semantic search applications with optimized performance. Whether you are scaling to millions of vectors or optimizing search latency, these patterns provide the domain-specific guidance needed to integrate robust vector search capabilities into any LLM-powered application.
