A vector database indexes high-dimensional embeddings so it can return the most similar items to a query in milliseconds, even across millions of entries. It is the practical backbone of semantic search, recommendation, and retrieval for RAG.
Definition
A store built to hold embeddings and find the nearest ones to a query fast. The retrieval engine under semantic search and RAG.
A vector database indexes high-dimensional embeddings so it can return the most similar items to a query in milliseconds, even across millions of entries. It is the practical backbone of semantic search, recommendation, and retrieval for RAG.
Also known as
vector store, vector search
Specialist software house for video, real-time and AI products. Founded 2005. 50 in-house engineers.
