Artificial intelligence (AI) processing rests on the use of vectorised data. In other words, AI turns real-world information into data that can be used to gain insight, searched for and manipulated.

Timescale is looking to further advance its namesake open-source database platform with new AI capabilities announced today. Timescale was founded in 2017 as a time series database (TSDB) technology ...

Have you ever searched for something online, only to feel frustrated when the results didn’t quite match what you had in mind? Maybe you were looking for an image similar to one you had, or trying to ...

Vast Data Inc. today announced enhancements to its Vast Data Platform, enabling it to support structured and unstructured data in a single DataSpace with linear and secure scaling. The enhancements ...

MongoDB has cemented its status as a global leader in the database market, evolving well beyond its roots as a popular NoSQL ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...

Microsoft has introduced its Microsoft.Extensions.VectorData.Abstractions library, now in preview. The library provides abstractions to help integrate vector stores into .NET applications and ...