Data store optimized for similarity search over embeddings—indexes nearest neighbors faster than brute-forcing every vector.
Vector databases (or vector-capable search engines) store embedding vectors plus metadata filters. They answer “what passages are like this query vector?” at scale.
Design note
They complement, not replace, your primary database. Teams often pair vectors with metadata filters, re-ranking, and sometimes hybrid search.