Vector Database
A vector database is a data store built specifically to index and search embeddings efficiently, returning the nearest vectors to a query embedding instead of exact-match records.
Part of Search Infrastructure
Standard databases aren't built for this kind of similarity search at scale, which is why semantic and vector search systems typically run on a purpose-built vector database or a vector index layered on top of an existing one, alongside the traditional inverted index used for keyword matching.