How Vector Databases Work
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.
Read more at Dev.to.
Related content
-
Workflow-based data analysis with KNIME
They say data is "the new oil," but all that data you collect is only valuable if it leads to new insights. An open source analysis tool called KNIME lets you analyze data through graphical workflows – without the need for programming or complex spreadsheet manipulation. -
Prepare, analyze, and visualize data with R
The free R programming language and software environment for statistical computing and graphics is well supported, has great flexibility, and is easily automated. -
Chatbots put to the scripting test
The AI skillset is currently limited, so you don't yet have to worry about AI replacing programmers. We look at the capabilities of AI scripting with free large language models and where it works best. -
A Brief History of Supercomputers
This first article of a series looks at the forces that have driven desktop supercomputing, beginning with the history of PC and supercomputing processors through the 1990s into the early 2000s.
-
Advantages of data analysis with graph databases
Analyze scattered but related data in real time with a graph database.
Subscribe to our ADMIN Newsletters
Subscribe to our Linux Newsletters
Find Linux and Open Source Jobs
Most Popular
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.
