Vector Database

A vector database is a purpose-built data store designed to persist, index, and query high-dimensional embedding vectors at scale. Beyond basic ANN search, vector databases typically support metadata filtering, namespacing, upsert semantics, and hybrid search combining dense and sparse signals. Commercial examples include Pinecone, Weaviate, Qdrant, and Chroma. Managed vector databases offload index management, scaling, and replication from the application team.