How Vector Databases Work


Learn what makes vector databases popular for AI and ML applications.

Vector databases are emerging as critical tools for AI, “offering unparalleled efficiency and accuracy in handling the vast, intricate datasets generated by generative AI models,” says Pavan Belagatti.

“A vector database is a kind of database that is designed to store, index and retrieve data points with multiple dimensions, which are commonly referred to as vectors,” Belagatti explains. And, in this article, he explores how vector databases work and provides a hands-on tutorial.




Related content

comments powered by Disqus
Subscribe to our ADMIN Newsletters
Subscribe to our Linux Newsletters
Find Linux and Open Source Jobs

Support Our Work

ADMIN content is made possible with support from readers like you. Please consider contributing when you've found an article to be beneficial.

Learn More”>


		<div class=