Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Condition: As New. Unread book in perfect condition.
Paperback. Condition: New.
Condition: New.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Condition: New.
Condition: As New. Unread book in perfect condition.
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New.
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. Building Intelligent Agents with Knowledge Graphs: Boost Agent Reasoning, Reduce Hallucinations, and Achieve Explainable AI Outcomes Building Intelligent Agents with Knowledge Graphs begins with a question every AI builder faces today: How do you create agents that reason reliably, avoid hallucinations, and explain their decisions with confidence? As LLM-powered systems spread across industries, the pressure to deliver accuracy, transparency, and trust has never been greater. This book gives you a practical, industry-ready path forward.At its core, this guide shows you how to combine knowledge graphs with modern AI agents to build systems that understand context, maintain memory, and perform structured reasoning far beyond what statistical models can do alone. You'll learn how to design graph-powered architectures that strengthen agent logic, reduce errors, and support the demands of real-world deployment-whether you're building enterprise copilots, domain-specific assistants, or multi-agent systems that coordinate across teams and tools.Inside, you'll gain the skills to: - Model entities, relationships, and schemas that give agents a reliable foundation for decision-making.- Use knowledge graphs to cut hallucinations, enforce factual consistency, and support transparent reasoning.- Integrate LLMs with graph querying, retrieval strategies, and hybrid vector-graph pipelines.- Build agents that store, update, and reference long-term memory using evolving, temporal knowledge graphs.- Apply graph techniques to biomedical QA, supply chain operations, legal reasoning, customer support workflows, and more.- Design governance, explainability, and trust frameworks essential for enterprise-grade AI.- Implement scalable graph infrastructures, evaluate reasoning accuracy, optimize latency, and manage cost.- Explore emerging directions such as neuro-symbolic AI, autonomous graph evolution, and multi-modal agent architectures.Each chapter translates complex concepts into clear, actionable steps supported by real code, grounded examples, and proven design patterns. Whether you're a software engineer, data architect, AI researcher, or technical leader, you'll find strategies you can apply immediately and expand as your systems grow.If you're ready to build AI agents that are not only powerful but consistently correct, transparent in their decisions, and aligned with human expectations, this book will give you the blueprint. Start building AI systems you-and your users-can trust. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
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Paperback. Condition: new. Paperback. System Prompts for LLMs: Build Smarter AI Assistants with Precision, Control, and ConsistencyWhy do some AI assistants feel sharp, trustworthy, and consistent-while others seem unpredictable or vague? The answer isn't always in the model itself but in the instructions that shape it. The hidden foundation of every reliable large language model (LLM) system is its system prompt-the carefully engineered layer that defines what the assistant knows, how it behaves, and how it communicates.This book gives developers, AI engineers, and technical leaders the blueprint for mastering system prompts-the most critical and often overlooked component of effective LLM design. Through hands-on examples, real-world templates, and clear technical explanations, you'll learn how to control model behavior with precision and turn raw intelligence into predictable performance.Readers will learn how to: Design system prompts that establish clear identity, tone, and domain expertise.Enforce structure, tone, and safety through constraints and layered prompt patterns.Integrate system prompts with APIs, tools, and agentic workflows for reliable automation.Build governance workflows-versioning, testing, and logging-to ensure consistency at scale.Recognize and prevent prompt failures, such as leakage, injection, or drift.Create reusable prompt libraries and frameworks adaptable across teams and industries.Each chapter moves beyond theory to teach practical implementation. You'll see how structured templates, runtime context switching, and prompt evaluation frameworks help maintain alignment across changing environments. Whether you're developing customer-facing assistants, research tools, or enterprise-grade AI systems, the principles here will elevate your control and confidence in model behavior.System Prompts for LLMs bridges the gap between prompt design and software engineering discipline-giving you a professional, repeatable process for building AI assistants that are safe, consistent, and production-ready. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: Rarewaves.com UK, London, United Kingdom
Paperback. Condition: New.
Paperback. Condition: New.
Paperback. Condition: New.
Seller: Rarewaves.com UK, London, United Kingdom
Paperback. Condition: New.
Paperback. Condition: New.
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. n8n Automation and LangChain Agent Orchestration: Practical Strategies for AI-Driven Integrations, Scalable Automation, and Secure MCP WorkflowsAre you ready to automate smarter, faster, and with more confidence-no matter how complex your workflows become? Struggling to keep up with ever-changing integrations, scale your operations, or maintain robust, secure AI-driven automations? You're not alone-and the solution is within reach.n8n Automation and LangChain Agent Orchestration: Practical Strategies for AI-Driven Integrations, Scalable Automation, and Secure MCP Workflows delivers a proven blueprint for building intelligent, resilient automation systems. This book goes beyond surface-level tutorials to give you actionable, production-tested patterns for orchestrating agents, integrating state-of-the-art AI tools, and maintaining control in the face of constant change.You'll learn how to: Set up a future-ready automation stack, integrating n8n for workflow orchestration and LangChain for advanced agent logic.Build, expose, and manage secure tools using Model Context Protocol (MCP)-enabling modular, scalable agent systems.Connect and scale workflows that combine human decisions, AI capabilities, and external systems-without losing reliability.Handle real-world challenges like versioning, migration, error tracing, and schema updates, with hands-on code examples and troubleshooting strategies.Master use cases from retrieval-augmented generation to CRM and ticket automation, multi-agent orchestration, and robust observability.This book isn't just about code-it's about giving you the control and clarity to adapt your systems as AI and automation evolve. Whether you're an engineer, developer, or technical manager, you'll find actionable advice and reusable templates that work in real projects, not just in theory. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.