Building Complex Multi-Agent Systems Using Pattern Prompting: A guide to building robust and secure GenAI applications using software engineering best practices

Learn how to build GenAI applications using proven patterns and abstractions to work confidently across tools and frameworksFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesLearn core abstractions and enterprise patterns behind modern GenAI systemsBuild secure, scalable agentic architectures using familiar engineering toolsGenerate multi-agent workflows and RabbitMQ-based GenAI configurationsUse our Topologos prompt to easily build and test any agentic systemBook DescriptionLearn how to build GenAI applications using proven software engineering patterns instead of rapidly changing frameworks. This book helps engineers build secure, scalable agentic systems with familiar tools and practical, engineer-to-engineer architectural guidance.You will connect GenAI concepts such as agentic workflows, embeddings, and vector databases to enterprise patterns, including components, adapters, and microarchitectures. Established GoF and enterprise design patterns help explain agentic behavior and system design, enabling you to reason about architecture rather than memorize tools. The book also shows you how to generate multi-agent and GenAI patterns as RabbitMQ configurations for scalable orchestration and communication.Using language-agnostic examples and widely used messaging, orchestration, and data technologies, you will build production-ready systems that integrate with existing infrastructure without unnecessary complexity. You will also use our Topologos prompt to build, modify, and test deploy-ready multi-agent systems quickly while improving robustness and maintainability.By the end of this book, you will be able to design reliable GenAI systems, make informed architectural decisions, and adapt confidently as tools and frameworks evolve.*Email sign-up and proof of purchase requiredWhat you will learnBuild GenAI applications that are secure, reliable, and scalableApply enterprise patterns to architect reliable GenAI systemsUnderstand the core concepts behind LLMs needed for application developmentUse practical engineering approaches for agentic architecture designGenerate RabbitMQ configurations for multi-agent GenAI systemsBuild and test robust multi-agent systems using our Topologos promptWho this book is forThis book is written for experienced software engineers, architects, and technical leads who want to add GenAI to their toolbox without abandoning the engineering principles that define good software.It assumes familiarity with basic programming and software development, but does not require prior experience with AI, machine learning, RabbitMQ, or Airbyte. All necessary concepts and tools are introduced in contexts.Table of ContentsIntroduction: Patterns, Abstractions, and the GenAI LandscapeEmbeddings: The Language of AIBuilding with GenAI: Parameters, Tuning, and Project PhasesBuilding Your First RAG AppStarting Your Data Migration ProjectIngesting Data Using Airbyte and PineconeTips and Best PracticesPattern-Guided Coding: Using Patterns as the Design Vocabulary for GenAI Systems Built on RabbitMQImplementing the ReAct Pattern Over RabbitMQThe Future and Limitations of LLMsAppendix A: Pattern Reference: GoF, Enterprise Integration, Reliability, and GenAI Microarchitecture PatternsAppendix B: Topologos User Manual Read more