​​RAG is dead: why enterprises are shifting to agent-based AI architectures

Enterprises are moving from Retrieval-Augmented Generation (RAG) to agent-based AI architectures due to security and performance issues. RAG's centralized data storage poses security risks and scaling challenges. Agent-based systems directly query source systems, maintaining existing access controls and data freshness. This approach reduces security vulnerabilities, simplifies compliance, and eliminates duplicate repositories. Organizations implementing agent-based AI focus on defined workflows, explicit permissions, and comprehensive monitoring. This shift addresses key challenges while enhancing AI capabilities in enterprise settings.