AI Glossary
Embedding model
What does “Embedding model” mean?
Embedding model: Rather than generating text, an embedding model converts words, documents, images or other data into lists of numbers, called vectors, positioned so that similar meanings land close together. These vectors make it possible to search, cluster and compare content by meaning.
What is an example of “Embedding model”?
Retrieval-augmented generation systems use an embedding model to find the passages most relevant to a question before handing them to a chatbot.