An embedding is the numerical representation of words, sentences, or other data as vectors – i.e., arrays of numbers. Similar content receives similar vectors, allowing the AI to mathematically capture meaning. Embeddings are the foundation for search functions, recommendation systems, and RAG: they make it possible to find semantically related content even when different words are used.
In short
What is an embedding?
An embedding is the numerical representation of words or data as vectors. Similar content receives similar vectors, allowing the AI to mathematically capture meaning. Embeddings are the foundation for search functions, recommendation systems, and RAG.
Using AI in your organisation?
We show you which applications are worth it for your organisation.