A new Google Research blog post highlights the Gemini Enterprise Agent Platform and its use of Agentic RAG. The post frames this as a way to unlock dependable responses in enterprise settings, where accuracy and reliability matter.
Agentic RAG appears to go beyond standard retrieval-augmented generation by adding agent-like decision-making to the retrieval process. The emphasis is on data management, suggesting the platform is designed to help enterprises work with their own information more effectively.
Because this is based on a single source, the details are limited to what Google Research chose to share. The post does not compare the approach with alternatives, but it clearly positions Agentic RAG as a step toward more trustworthy AI outputs.