Building Complex Multi Agent Systems by Tim Obrien (9 results)

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Paperback. Condition: new. Paperback. 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. Understand GenAI through familiar abstractions and patterns to design scalable applications and quickly adapt to new tools and frameworks with confidence. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. 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. Understand GenAI through familiar abstractions and patterns to design scalable applications and quickly adapt to new tools and frameworks with confidence. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 Features: Learn core abstractions and enterprise patterns behind modern GenAI systems Build secure, scalable agentic architectures using familiar engineering tools Generate multi-agent workflows and RabbitMQ-based GenAI configurations Use our Topologos prompt to build and test robust multi-agent systemsBook Description:Learn 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 Learn: Build GenAI applications that are secure, reliable, and scalable Apply enterprise patterns to architect reliable GenAI systems Understand the core concepts behind LLMs needed for application development Use practical engineering approaches for agentic architecture design Generate RabbitMQ configurations for multi-agent GenAI systems Build and test robust multi-agent systems using our Topologos promptWho this book is for:This 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 software development concepts such as APIs, distributed systems, and system design, but does not require prior experience with AI, machine learning, RabbitMQ, or Airbyte. All necessary concepts and tools are introduced in contexts.Table of Contents Introduction: Patterns, Abstractions, and the GenAI Landscape Embeddings: The Language of AI Building with GenAI: Parameters, Tuning, and Project Phases Building Your First RAG App Starting Your Data Migration Project Ingesting Data Using Airbyte and Pinecone Tips and Best Practices Pattern-Guided Coding: Using Patterns as the Design Vocabulary for GenAI Systems Built on RabbitMQ Implementing the ReAct Pattern Over RabbitMQ The Future and Limitations of LLMs Appendix A Appendix B.

Taschenbuch. Condition: Neu. Building Complex Multi-Agent Systems Using Pattern Prompting | A guide to building robust and secure GenAI applications using software engineering best practices | Tim O'Brien | Taschenbuch | Englisch | 2026 | Packt Publishing | EAN 9781806114290 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.