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Google Research enhances Gemini Enterprise with Agentic RAG

By PulseAugur Editorial · [2 sources] ·

Google Research has developed a new agentic RAG framework integrated into the Gemini Enterprise Agent Platform, enhancing its Cross-Corpus Retrieval capabilities. This framework is designed to address the limitations of standard RAG in handling complex, multi-hop queries across various data sources. By employing a multi-agent architecture that plans, reasons, and iteratively searches, the system achieves up to a 34% improvement in accuracy on factuality datasets and better grounding on domain-specific tasks. AI

IMPACT Enhances enterprise search capabilities by improving accuracy and handling of complex, multi-hop queries across diverse data sources.

RANK_REASON Research paper detailing a new framework and its performance improvements.

Read on MarkTechPost →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Google Research enhances Gemini Enterprise with Agentic RAG

COVERAGE [2]

  1. MarkTechPost TIER_1 English(EN) · Michal Sutter ·

    Google Research Adds Agentic RAG to Gemini Enterprise Agent Platform with a Sufficient Context Agent for multi-hop queries

    <p>Google Research details an agentic RAG framework in Gemini Enterprise Agent Platform. A Sufficient Context Agent re-searches until multi-hop, multi-source queries have enough grounding to answer. The framework raises factuality accuracy up to 34% versus standard RAG.</p> <p>Th…

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Google Research has added Agentic RAG to Gemini Enterprise. The new framework handles multi-hop queries by iteratively searching data sources and includes a Suf

    Google Research has added Agentic RAG to Gemini Enterprise. The new framework handles multi-hop queries by iteratively searching data sources and includes a Sufficient Context Agent. Tests show 34% accuracy improvement on factuality datasets. https://www. marktechpost.com/2026/06…

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