Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...
The rapid adoption of large language model (LLM) systems across the federal government has prompted the U.S. General Services Administration (GSA) ...
Data lakehouses offer a solid footing, but when agents access the data autonomously, enterprises need to consider security, ...
Makers of AI browsers make lofty promises. With a single prompt, users can ask one to find a restaurant in a particular part ...
One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the ...
Google Cloud Summit came to London last week, and we took the opportunity to sit down with database execs Sailesh ...
Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...
NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — using step-by-step reasoning.
Artificial intelligence has rewritten the rules of online discovery in just a few short years, since people now turn to ...
In 2025 and 2026, several independent sources have highlighted the same trend: Prompt injection remains one of the most ...
The team at Hopsworks is excited to announce Hopsworks 5.0, the unified and Sovereign Data and AI platform built around the Coding AI and Data Stack; a new paradigm where coding agents replace ...
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