Agentic Architectural Patterns for Building Multi-Agent Systems: Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems
by Dr Ali Arsanjani, Juan Pablo Bustos
Explore architectural patterns and practical practices for developing multi-agent systems with generative AI, agents, RAG, and LLMOps. This guide addresses the design and operation of enterprise-scale AI systems, offering a structured foundation for professionals working with modern artificial intelligence architectures.
About This Book
This book explores architectural patterns for building multi-agent systems and enterprise-scale artificial intelligence solutions.
It covers generative AI, intelligent agents, retrieval-augmented generation (RAG), and large language model operations (LLMOps).
The focus is on proven design patterns and practical development practices for creating, organizing, and operating modern AI systems.
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