Vector Similarity Search (VSS) is no longer a feature that lives in AI/ML demos only! VSS has a wide range of applications including eCommerce, recommendation engines, LLM-powered chatbots, image and video search, and chemistry. In this talk, we'll learn how to implement VSS in Spring applications using Redis Stack enhanced search capabilities. We'll learn about creating embeddings for your data, learn about Vector databases, Vectorization of your data, similarity metrics, and more.