Google launches Agentic RAG on Gemini Platform
Google Cloud has introduced public preview support for Agentic RAG on the Gemini Enterprise Agent Platform, utilizing specialized planner, query rewriter, and quality-control agents to iteratively search and verify data. This multi-agent approach addresses standard pipeline limitations, increasing retrieval accuracy by up to 34% for enterprise applications.
Agentic RAG marks the transition from simple, static semantic searches to dynamic, self-correcting agent systems, setting a new baseline for enterprise-grade AI reliability.
- –**Accuracy Boost**: Achieving up to 34% higher accuracy compared to standard one-shot RAG pipelines directly addresses the hallucination and incompleteness issues that hinder enterprise adoption.
- –**Agent Orchestration**: By utilizing specialized agents (planner, query rewriter, quality-control) that interact iteratively, Google is showcasing a mature model of agentic workflows rather than single-model prompting.
- –**Enterprise Ready**: Integrating this framework directly into the Gemini Enterprise Agent Platform provides enterprises with out-of-the-box infrastructure for robust context engineering and data verification.
DISCOVERED
1h ago
2026-06-07
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1h ago
2026-06-07
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