Nov. 30, 2023, 9:59 a.m. | Pavan Belagatti

DEV Community dev.to

At the heart of this revolution lies the concept of vector databases, a groundbreaking development that is reshaping how we handle complex data. Unlike traditional relational databases, these are uniquely equipped to manage and process high-dimensional vector data — which is intrinsic to many AI and machine learning applications. As we delve deeper into the era of advanced AI vector databases are emerging as critical tools, offering unparalleled efficiency and accuracy in handling the vast, intricate datasets generated by generative …

ai ai and machine learning applications concept data database databases dataengineering datascience development groundbreaking intrinsic lies machine machine learning machine learning applications process relational relational databases tutorial vector vector databases work

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Director, Clinical Data Science

@ Aura | Remote USA

Research Scientist, AI (PhD)

@ Meta | Menlo Park, CA | New York City