ApplicationsAgent, RAG and prompt engineering practices
向量数据库
A database built for storing and searching high-dimensional vectors.
Vector databases provide efficient approximate nearest-neighbor search, retrieving from millions of vectors in milliseconds, and pair with embedding models to build RAG knowledge bases. Popular options: Milvus, Qdrant, Pinecone.