Retrieval-Augmented Generation Building Trustworthy AI Systems
In the world of artificial intelligence news, 2026 is the year of RAG. Our latest Ai technology news report details how corporations are avoiding the $67 billion hallucination tax through Retrieval-Augmented Generation. By Improving RAG model accuracy with semantic chunking, architects are building more resilient Enterprise AI workflows. We also cover the RAGAS framework for evaluating AI hallucinations to provide the C-suite with "truth metrics." Explore AITechPark AI news for a full breakdown of RAGAS model evaluation and hybrid search strategies. Start your journey to production-ready AI here.