关于
This skill provides a comprehensive framework for architecting and deploying vector search solutions within AI applications. It offers a standardized decision framework for selecting the ideal database—from Qdrant and Pinecone to pgvector and Milvus—while providing technical patterns for embedding model selection, hybrid search implementation, and optimal document chunking. Designed for developers building RAG systems, semantic search engines, and recommendation models, it ensures retrieval accuracy through advanced metadata filtering and automated evaluation using RAGAS metrics.