Embeddings are dense numerical representations of words, sentences, images, or other data points, where similar items are mapped close together in a high-dimensional vector space. They capture semantic meaning: the embeddings for «king» and «queen» are closer to each other than to «car». Embeddings power semantic search, recommendation systems, and RAG pipelines. A Moroccan e-commerce site uses text embeddings to match customer queries to the most relevant product descriptions.