Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose. AI is turning the idea of a database on its head.

Without structured context, GenAI applications are noisy and error prone. After all, real intelligence requires context, precision and understanding. This is why ...

When Aquant Inc. was looking to build its platform — an artificial intelligence service that supports field technicians and agents teams with an AI-powered copilot to provide personalized ...

When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing — a ...

AWS is previewing a specialized storage offering, Amazon S3 Vectors, that it claims can cut the cost of uploading, storing, and querying vectors by up to 90% compared to using a vector database, a ...

Vector databases emerged as a must-have technology foundation at the beginning of the modern gen AI era. What has changed over the last year, however, is that vectors, the numerical representations of ...