Hazelcast Vector Collections Explained in Detail: A Learning Guide
Overview In contemporary AI and ML environments, vectors are the primary way to encode and search complex, high-dimensional data such as text, images, audio, and user preferences. Starting with Hazelcast 5.4, Vector Collections let developers implement semantic search, recommendation engines, and other AI features directly inside a distributed in-memory data grid, removing the need for […]