Vector space is essentially a mathematical structure that defines vector addition and scalar multiplication, forming the basis for data representation and operations. In the AI field, we utilize ...

Therefore, vector space cannot fully reflect human intelligence, but it can serve as a tool to simulate or approximate certain external manifestations of human intelligence. Human intelligence is a ...

One of the common debates in the AI circles is whether using graph or vector databases offers more truthful information in generative AI (GenAI) applications. While graph data is great at representing ...

Vector databases are all the rage, judging by the number of startups entering the space and the investors ponying up for a piece of the pie. The proliferation of large language models (LLMs) and the ...

There’s been a debate of sorts in AI circles about which database is more important in finding truthful information in generative AI applications: graph or vector databases. AWS decided to leave the ...

This article explores the importance of data observability in supporting AI and vector databases, highlighting key benefits and the latest trends. Data observability, according to Monte Carlo, is ...

SAN DIEGO--(BUSINESS WIRE)--Teradata (NYSE: TDC) today announced Teradata Enterprise Vector Store, an in-database solution that brings the speed, power and multi-dimensional scale of Teradata’s hybrid ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on technique for visualizing and clustering data. A self-organizing map (SOM) is a data structure that can be used ...