It's clear that AI agents are only as good as the data behind them. Now, Google Cloud databases are being rebuilt to feed ...

Microsoft's Data API Builder is designed to help developers expose database objects through REST and GraphQL without building a full data access layer from scratch. In this Q&A, Steve Jones previews ...

A Linux variant of the GoGra backdoor uses legitimate Microsoft infrastructure, relying on an Outlook inbox for stealthy ...

Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of ...

Graph database expert Marko Budiselic shares useful engineering perspectives on the question and highlights the example of ...

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...

In February, a user named EricKeller2 posted on Reddit. “I mapped every connection in the Epstein files,” he wrote. He had built a website and database of more than 1.5 million files related to the ...

Databricks provides tables designed for massive scale, enabling efficient storage and querying of tens of billions of triples with features like time travel No ETL or migration needed—just query your ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

Building retrieval-augmented generation (RAG) systems for AI agents often involves using multiple layers and technologies for structured data, vectors and graph information. In recent months it has ...

GrapheneUses.org expands its graphene applications library, covering batteries, coatings, electronics, water filtration, and advanced materials. Graphene is shaping the future of technology, and our ...