The Why, What, Who and Where of Vector Databases - Audio Blog
May 24, 2023•10 min
Listen to this episode in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more
Episode description
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
For the best experience, listen in Metacast app for iOS or Android