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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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Taschenbuch. Zustand: Neu. Neuware.
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Taschenbuch. Zustand: Neu. Neuware - Description The convergence of large language models, retrieval-augmented generation, and knowledge graphs has opened a new frontier in artificial intelligence: the design of autonomous multiagent systems capable of sophisticated reasoning, dynamic collaboration, and reliable execution in com…plex, real-world environments. AI Agents Handbook delivers a rigorous, end-to-end reference for professionals who must move beyond isolated LLM calls to architect, implement, and operate production-grade agentic platforms. This volume provides the architectural principles, design patterns, and engineering methodologies required to build agents that perceive, plan, act, and coordinate effectively. Readers gain deep expertise in constructing high-fidelity RAG pipelines, integrating structured knowledge graphs for semantic reasoning, implementing advanced agent patterns such as ReAct and Reflexion, and orchestrating multiagent workflows that scale across distributed infrastructure. The handbook systematically addresses the full system lifecycle-from data ingestion and knowledge representation to agent lifecycle management, inter-agent communication protocols, fault tolerance, and continuous evaluation-while maintaining a consistent focus on reliability, observability, and responsible deployment. Special attention is given to the practical challenges that determine success in enterprise and research settings: mitigating hallucinations and retrieval failures, securing agents against prompt injection and adversarial inputs, preserving privacy in multi-party environments, establishing governance and audit mechanisms, and achieving horizontal scalability without sacrificing coherence. Domain-informed case studies and reference architectures illustrate how these components integrate into cohesive solutions for software engineering automation, research acceleration, financial process orchestration, and knowledge-intensive operations. AI Agents Handbook is written for experienced AI engineers, system architects, machine learning researchers, and technical leaders who require both theoretical depth and actionable implementation guidance. Its structured progression from foundational concepts to advanced production considerations equips readers to design agents that are not only intelligent but also robust, maintainable, and aligned with organizational objectives. Master the construction of autonomous multiagent systems that deliver measurable value.Acquire your copy of AI Agents Handbook today and begin building the next generation of scalable, trustworthy, and collaborative AI agent platforms.
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Taschenbuch. Zustand: Neu. Neuware - Self-hosted workflow automation platforms give technical teams complete control over data privacy, infrastructure costs, customization, and integration depth. n8n Workflow Automation on Self-Hosted Docker delivers a rigorous, practice-oriented guide to deploying, securing, and extending the n…8n platform inside Dockerized environments so you can orchestrate sophisticated workflows, manage them through Git, execute local terminal operations safely, and build native AI agents that run entirely on your infrastructure. The book opens with the architectural foundations of n8n and containerized deployments. You will master host preparation, Docker Compose orchestration, custom image hardening, persistent volume strategies with PostgreSQL, network isolation, and production-grade environment configuration. Subsequent chapters advance through robust workflow design patterns-node semantics, data transformation, conditional logic, error handling, retries, and modular architecture-before focusing on specialized capabilities. A dedicated treatment of n8n's source control and environments feature shows how to connect instances to Git repositories, implement branching and promotion workflows, enable collaborative development, and integrate with CI/CD pipelines for automated testing and deployment of automation assets. Separate coverage addresses the secure activation and disciplined use of command execution nodes inside Docker containers, including permission models, auditing, isolation techniques, and hybrid architectures that combine declarative workflows with imperative local actions.>Security, observability, and operational excellence receive thorough attention: identity and access management, secrets handling, container hardening, structured logging and metrics, performance tuning, scaling with workers and high availability, backup and disaster recovery procedures, and lifecycle management. Real-world architectural patterns illustrate application to DevOps pipelines, internal tooling, data engineering workflows, and autonomous intelligent processes. Intended for experienced developers, DevOps engineers, automation architects, and technical leaders who prioritize sovereignty and extensibility, this resource supplies the precise configurations, architectural patterns, and implementation techniques required to operate a professional-grade, self-hosted n8n platform. Take control of your automation strategy and AI capabilities. Acquire this book today and begin building secure, private, version-controlled, and intelligent workflow systems with n8n on Docker.
