Google Research Adds Agentic RAG to Gemini Enterprise Agent Platform with a Sufficient Context Agent for multi-hop queries
Quick Answer
Google Research has introduced the Agentic RAG framework within the Gemini Enterprise Agent Platform, enhancing multi-hop query handling.
Quick Take
Google Research has introduced the Agentic framework within the Gemini Enterprise Agent Platform, enhancing multi-hop query handling. The new Sufficient Context Agent improves factual accuracy by 34% compared to standard RAG, enabling better responses to complex queries.
Key Points
- Agentic RAG framework enhances multi-hop, multi-source query capabilities.
- Sufficient Context Agent re-searches until sufficient grounding is achieved.
- Factual accuracy improved by 34% over standard RAG benchmarks.
- Targeted at improving responses in complex query scenarios.
- Part of Google Research's ongoing advancements in AI agent technology.
Article Excerpt
From source RSS / original summaryGoogle Research details an agentic 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. The post Google Research Adds Agentic RAG to Gemini Enterprise Agent Platform with a Sufficient Context Agent for multi-hop queries appeared first on MarkTechPost.
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