关于
This skill provides standardized patterns for implementing high-performance similarity search in production systems using vector databases like Pinecone, Qdrant, and pgvector. It equips developers with optimized templates for semantic search, hybrid retrieval, and RAG (Retrieval-Augmented Generation) workflows. By covering essential concepts such as distance metrics, HNSW indexing, and cross-encoder reranking, it helps ensure that search systems are scalable, accurate, and optimized for low-latency AI-driven applications.