Build gen AI agents using Google Cloud databases

As enterprises build generative AI agents to strengthen their security posture or improve their customer experience, they need access to real-time data. Because most business critical and real-time data is stored and processed in databases, you need ways to perform agentic orchestration in dynamic ways.

In this post, we'll define a new tech stack composed of models, tools, data stores, and applications. We'll show why each component is important to serving the needs of enterprise customers based on scale, performance, security, and manageability. Let's dive in.

Components of an agentic application

In the world of services, human agents have been supporting customers for decades. They’ve helped with travel reservations, insurance recommendations, and contract negotiations. “AI” agents are similar in the way they support users, but they have additional advantages. We’re seeing organizations build increasingly sophisticated AI agents to:

• Deliver hyper-personalized ...