Artificial intelligence takes advantage of many kinds of data to generate more nuanced and accurate results, but how does it do that? One way is through vector search.
Vector search has a wide range of applications including eCommerce, recommendation engines, chatbots, image and video search, and chemistry.
In this talk, you’ll learn how to implement vector search in Spring applications using Redis Stack enhanced search capabilities. You’ll also learn how to create embeddings for your data, about vector databases, vectorization of your data, similarity metrics, and more.
Presenter:
Brian Sam-Bodden
Senior Developer Advocate
Redis
