Embeddings are a learned way of representing data in space. Vector databases make it easier to work with embeddings generated from deep learning models. They will become an essential tool in the AI stack because they reduce the time to structure data and train models.
Published at: https://www.eckerson.com/articles/the-why-what-who-and-where-of-vector-databases
