Language & LLMs

What Is an Embedding Model?

An embedding model is a neural network that transforms text into dense numerical vectors representing its meaning. These vectors let systems measure similarity between pieces of text using distance or angle. Embedding models power semantic search, clustering, and retrieval-augmented generation.