Unlocking dependable responses with Gemini Enterprise Agent Platform’s Agentic RAG★ 72
Google Research Blog9 days agoReleaseGoogle Research and Google Cloud introduced an agentic RAG framework hosted on Gemini Enterprise Agent Platform. It uses multiple agents to plan, rewrite, route, retrieve, verify sufficient context, iterate, and synthesize answers. Google reports up to 34% factuality accuracy gains over standard RAG, plus 90.1% accuracy in a cross-corpus FramesQA setting with similar latency to single-corpus retrieval.
NetApp Taiwan on AI Storage Bottlenecks, Hybrid Cloud, and Data Management
INSIDE 硬塞 AI17 days agoBusinessINSIDE interviews NetApp Taiwan technical director Hsu Hung-chun about enterprise AI infrastructure challenges. The article emphasizes nonstop scaling, automated data tiering, preprocessing, vectorization, hybrid cloud, and dual-site backup. NetApp frames storage as an active data management layer for AI projects, also integrating ransomware protection to simplify operations and improve resilience.