Agentic AI architecture guides

Last reviewed 2025-11-25 UTC

This document in the Architecture Center provides links to architecture guides that you can use to build and deploy agentic AI applications in Google Cloud.

Architecture guide Description
Administer interactive learning

A high-level architecture to design a single-agent AI system that assesses a user's knowledge on a specific topic and generates a personalized learning experience.

Automate data science workflows

A high-level architecture to design a multi-agent AI system that automates complex data analytics and machine learning tasks.

Classify multimodal data

A high-level architecture to design a multi-agent AI system that analyzes disparate multimodal data and produces a high-confidence classification.

Guide technical workflows with bidirectional multimodal streaming

A high-level architecture to build and deploy a multi-agent AI system that provides technical guidance and automated safety monitoring through a continuous, bidirectional stream of multimodal data.

Multimodal GraphRAG resource orchestration

A high-level architecture to build and deploy a multi-agent AI system that consolidates fragmented multimodal data into a searchable knowledge graph.

Orchestrate access to disparate enterprise systems

A high-level architecture to design an agentic AI system that orchestrates interactions with disparate enterprise systems.

Orchestrate security operations workflows

A high-level architecture to build a multi-agent AI system that orchestrates complex investigation and triage processes in a security operations center (SOC).

Choose a design pattern for your agentic AI system

A design guide to help you choose a design pattern for your agentic AI system.

Choose your agentic AI architecture components

A design guide to help you choose architectural components for your agentic AI applications in Google Cloud.

Multi-agent AI system in Google Cloud

A reference architecture to help you design robust multi-agent AI systems in Google Cloud.

Single-agent AI system using ADK and Cloud Run

A reference architecture to help you design a single-agent AI system by using Agent Development Kit (ADK) and Cloud Run with Gemini and Model Context Protocol (MCP).

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