Agentic Architectural Patterns for Building Multi-Agent Systems - 2026 Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems. This book will guide you through a comprehensive pattern language for designing and building agentic systems, and it will also cover practical recipes on integrating and implementing these patterns with tools such as Google ADK, CrewAI, and LangGraph. Most of the agent configurations described in this book are illustrated using Google’s Gemini models and Python, but you can apply these architectural patterns to other LLMs and frameworks. This book is for software architects, senior developers, AI engineers, and technical leaders looking to move beyond simple chatbot prototypes and build robust, production-grade agentic systems. Experience with Python programming, basic machine learning concepts, and a familiarity with API-based development is required to get the most out of this agentic AI book.
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