Embedding Model

A model specifically designed to convert data, such as text, images, or audio, into embeddings, numerical vectors that capture semantic relationships. Embedding models are widely used in semantic search, recommendation systems, and retrieval-augmented generation, where items must be compared or retrieved based on meaning rather than exact matches.
See also: embedding, dense retrieval, vector database.