Understanding Vector Search and its Applications

In this video, we explore vector search and its pivotal role in accessing unstructured data. Learn how machine learning models generate vectors and perform searches based on the nearest numeric matches. We'll showcase practical examples of vector search and explore a few of its use cases, including:

-Support cases
-Anomaly detection
-Contextual information retrieval

We also highlight the benefits of using Hazelcast Platform for vector search, such as continuous refinement and a unified platform for both storage and compute.