Glossary / AI & data

Vector database

A vector database stores content as numerical "meaning coordinates" (embeddings), so search works by similarity of meaning rather than matching keywords — a query about "refund rules" finds the paragraph about "returning payments" even with zero shared words. It's the retrieval engine inside RAG systems and semantic search. For modest datasets, vector extensions of ordinary databases often do the job without new infrastructure.