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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.
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Taschenbuch. Condition: Neu. Neuware - Mastering ACP for AI Agents: The Definitive Developer's Guide to Agent-Communication Protocol.
Language: English
Published by Createspace Independent Publishing Platform Mai 2026, 2026
ISBN 13: 9798198869554
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Neuware - Mastering Gemini CLI for AI Development: Streamline Local Coding Workflows, Automate Enterprise GitHub Actions, and Deploy Containerized ReAct Agent PipelinesTurn your terminal into a practical AI development command center without losing control of your code, workflow, or security.Tired of jumping between browser-based AI chats, local files, GitHub issues, CI logs, and container tools just to keep one project moving Modern developers need more than quick prompts. They need AI that works inside the environment where software is actually built.Mastering Gemini CLI for AI Development is a hands-on guide to using Gemini CLI for faster local coding, smarter automation, and production-ready agent workflows. You'll learn how to install, configure, secure, and operate Gemini CLI across real developer environments, from local shells to enterprise GitHub Actions pipelines.This book shows you how to build practical workflows using Gemini CLI, ReAct agent loops, MCP server integrations, GEMINI.md memory files, custom skills, slash commands, container sandboxes, and automated pull request review systems.Inside, you'll learn how to: - Set up Gemini CLI across macOS, Linux, Windows, and restricted environments- Use terminal-native AI to inspect files, modify code, and verify results- Build ReAct agent pipelines that reason, act, observe, and iterate- Connect external tools with MCP servers and custom extensions- Automate GitHub issue triage, pull request reviews, and CI/CD checks- Secure API keys, credentials, containers, and enterprise workflows- Deploy sandboxed AI automation with Docker, Podman, and GitHub ActionsThis book is for developers, DevOps engineers, AI engineers, systems architects, and technical teams who want practical AI coding automation without relying on scattered tools or fragile manual steps.
Language: English
Published by Createspace Independent Publishing Platform Mai 2026, 2026
ISBN 13: 9798198409620
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Neuware - OpenAI Agent Builder for Beginners: The Step-by-Step Guide to Build Autonomous AI Agents, Integrate n8n Workflows, and Eliminate Manual Business Operations Without CodeManual work is quietly draining your business. Every copied lead, delayed follow-up, repeated customer reply, spreadsheet update, and app-to-app handoff steals time from work that actually grows revenue.What if your daily operations could run through intelligent AI agents instead of endless manual steps What if your workflows could think, route, respond, update tools, and escalate only when human approval is truly needed OpenAI Agent Builder for Beginners gives you a practical, step-by-step path to building no-code and low-code autonomous AI agents that connect OpenAI Agent Builder, n8n workflows, ChatKit, webhooks, guardrails, APIs, and business automation systems into one reliable workflow stack. The book's table of contents covers agent canvases, n8n pipelines, hybrid automation, human-in-the-loop approvals, compliance, CRM ingestion, trace grading, and production maintenance.Instead of vague AI theory, this guide focuses on real operational outcomes: reducing repetitive tasks, automating customer and lead workflows, connecting business apps, protecting sensitive data, and building agents that can support modern digital operations.Inside, you will learn how to: - Build autonomous AI agents with clear instructions and safe boundaries- Connect OpenAI Agent Builder with n8n workflows- Automate lead enrichment, CRM updates, Slack alerts, and business tasks- Use webhooks, APIs, guardrails, memory, and approval gates- Create workflows that reduce manual work without requiring advanced codingThis book is for beginners, founders, operations managers, automation builders, consultants, freelancers, and business owners who want practical AI automation without getting buried in complex software engineering.
Taschenbuch. Condition: Neu. Neuware.
Taschenbuch. Condition: Neu. Neuware.