In this session, we will deep-dive into the data-grounding capabilities of the Gemini Enterprise Agent Platform. We will explore how to bypass manual chunking pipelines and use Agent Builder to construct an advanced, multi-source Retrieval-Augmented Generation (RAG) engine. You will learn how to orchestrate a unified data mesh by anchoring your agents simultaneously to unstructured operational knowledge (PDFs, docs, and logs stored in Cloud Storage) and live, structured enterprise metrics (relational datasets sitting in BigQuery).

We will break down exactly how the platform’s orchestration layer dynamically switches context between these sources to fulfill complex queries without hallucination—bringing true deterministic reliability to your autonomous agent workflows.