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Google Gemini Enterprise adds Agentic RAG for complex queries

Google Research has introduced Agentic RAG, a new framework integrated into Gemini Enterprise designed to enhance the handling of complex, multi-hop queries. This system iteratively searches through data sources and incorporates a Sufficient Context Agent to improve accuracy. Initial testing indicates a 34% increase in factuality on relevant datasets. AI

IMPACT Enhances enterprise AI capabilities for complex data retrieval and question answering.

RANK_REASON This is a product update/feature addition to an existing enterprise AI product, not a new model release or fundamental research breakthrough.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

COVERAGE [1]

  1. 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…