Core Concepts

What Are Embeddings in AI?

Embeddings are numerical vector representations of data — words, sentences, images, or other items — arranged so that similar things are near each other in a high-dimensional space. They let computers measure similarity and meaning mathematically, and they underpin semantic search, recommendation systems, and retrieval-augmented generation.