Vector Indexes

Vector indexes are data structures used to efficiently organize and query large datasets of dense vectors, typically generated by machine learning models or other high-dimensional data sources. By enabling fast similarity searches and nearest neighbor queries, vector indexes play a crucial role in various AI and machine learning applications, such as image and text retrieval, recommendation systems, and natural language processing, making them a key component in the development of intelligent and scalable tech solutions.