Embeddings

Embeddings are numeric vectors that represent text, images, or other inputs so similar items sit close together in vector space.

An embedding model maps an input to a fixed-length vector. Those vectors are stored in an index and queried by nearest neighbors. They underpin search, clustering, and RAG.