What's the Difference Between Abetting and a Feature Store?

Ibedding is a machine learning generated vector that somehow describes the user. Imbeddings are used widely in recommender systems and socure vision tasks. In bedngs, you need to have the nearest neighbor operation. We need to use our nbeddings to be able to otmize our commec experience. The most common thing i and we did too was actually put an embedding on an production server. And if anyone has worked on an embedded server before, they should know how it works.