Agentic Design Patterns Made Easy
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Agentic Design Patterns Made Easy
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Author : Julian Sanchez
language : en
Publisher: Independently Published
Release Date : 2025-10
Agentic Design Patterns Made Easy written by Julian Sanchez and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10 with Computers categories.
Artificial Intelligence is changing fast-moving from simple assistants to autonomous agents capable of reasoning, adapting, and solving complex problems. But for beginners, the challenge is clear: how do you actually build these smarter AI systems in a structured and reliable way? Agentic Design Patterns Made Easy is the practical beginner's guide you've been waiting for. Written in clear, accessible language, this book introduces the core design patterns that every developer, student, or tech enthusiast needs to know to start creating intelligent agents with confidence. Inside, you'll discover: Step-by-step explanations of foundational agentic design patterns, from simple prompt chaining to more advanced techniques like memory management, self-reflection, and multi-agent collaboration. Beginner-friendly coding examples that show you exactly how these patterns work in practice, so you can go from theory to application without guesswork. Practical use cases that connect each pattern to real-world challenges, helping you see how to apply them to chatbots, automation systems, research tools, and more. Hands-on guidance with popular frameworks including LangChain, LangGraph, Crew AI, and Google ADK, so you can build agents in today's most widely used development environments. Key takeaways at the end of each chapter for fast review and easy reference. Unlike dense academic texts, this book is designed to be approachable for beginners while still offering depth for those who want to grow their skills. Whether you're a developer entering the AI field, a student exploring agentic systems, or a professional looking to expand your toolkit, this guide will help you master the fundamentals of agent design without overwhelm. By the end of this book, you'll understand how to structure, build, and refine your own AI agents-giving you the confidence to create systems that are not just reactive, but truly intelligent and adaptive.
Generative Ai Design Patterns
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Author : Valliappa Lakshmanan
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-10-03
Generative Ai Design Patterns written by Valliappa Lakshmanan and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-03 with Computers categories.
Generative AI enables powerful new capabilities, but they come with some serious limitations that you'll have to tackle to ship a reliable application or agent. Luckily, experts in the field have compiled a library of 32 tried-and-true design patterns to address the challenges you're likely to encounter when building applications using LLMs, such as hallucinations, nondeterministic responses, and knowledge cutoffs. This book codifies research and real-world experience into advice you can incorporate into your projects. Each pattern describes a problem, shows a proven way to solve it with a fully coded example, and discusses trade-offs. Design around the limitations of LLMs Ensure that generated content follows a specific style, tone, or format Maximize creativity while balancing different types of risk Build agents that plan, self-correct, take action, and collaborate with other agents Compose patterns into agentic applications for a variety of use cases
Generative Ai With Langchain
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Author : Ben Auffarth
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-05-23
Generative Ai With Langchain written by Ben Auffarth and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Computers categories.
Go beyond foundational LangChain documentation with detailed coverage of LangGraph interfaces, design patterns for building AI agents, and scalable architectures used in production—ideal for Python developers building GenAI applications Key Features Bridge the gap between prototype and production with robust LangGraph agent architectures Apply enterprise-grade practices for testing, observability, and monitoring Build specialized agents for software development and data analysis Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis second edition tackles the biggest challenge facing companies in AI today: moving from prototypes to production. Fully updated to reflect the latest developments in the LangChain ecosystem, it captures how modern AI systems are developed, deployed, and scaled in enterprise environments. This edition places a strong focus on multi-agent architectures, robust LangGraph workflows, and advanced retrieval-augmented generation (RAG) pipelines. You'll explore design patterns for building agentic systems, with practical implementations of multi-agent setups for complex tasks. The book guides you through reasoning techniques such as Tree-of -Thoughts, structured generation, and agent handoffs—complete with error handling examples. Expanded chapters on testing, evaluation, and deployment address the demands of modern LLM applications, showing you how to design secure, compliant AI systems with built-in safeguards and responsible development principles. This edition also expands RAG coverage with guidance on hybrid search, re-ranking, and fact-checking pipelines to enhance output accuracy. Whether you're extending existing workflows or architecting multi-agent systems from scratch, this book provides the technical depth and practical instruction needed to design LLM applications ready for success in production environments.What you will learn Design and implement multi-agent systems using LangGraph Implement testing strategies that identify issues before deployment Deploy observability and monitoring solutions for production environments Build agentic RAG systems with re-ranking capabilities Architect scalable, production-ready AI agents using LangGraph and MCP Work with the latest LLMs and providers like Google Gemini, Anthropic, Mistral, DeepSeek, and OpenAI's o3-mini Design secure, compliant AI systems aligned with modern ethical practices Who this book is for This book is for developers, researchers, and anyone looking to learn more about LangChain and LangGraph. With a strong emphasis on enterprise deployment patterns, it’s especially valuable for teams implementing LLM solutions at scale. While the first edition focused on individual developers, this updated edition expands its reach to support engineering teams and decision-makers working on enterprise-scale LLM strategies. A basic understanding of Python is required, and familiarity with machine learning will help you get the most out of this book.
Building Natural Language And Llm Pipelines
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Author : Laura Funderburk
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-12-30
Building Natural Language And Llm Pipelines written by Laura Funderburk and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-30 with Computers categories.
Stop LLM applications from breaking in production. Build deterministic pipelines, enforce strict tool contracts, engineer high-signal context for RAG, and orchestrate resilient multi-agent workflows using two foundational frameworks: Haystack for pipelines and LangGraph for low-level agent orchestration. DRM-free PDF version + access to Packt's next-gen Reader* Key Features Design reproducible LLM pipelines using typed components and strict tool contracts Build resilient multi-agent systems with LangGraph and modular microservices Evaluate and monitor pipeline performance with Ragas and Weights & Biases Book DescriptionModern LLM applications often break in production due to brittle pipelines, loose tool definitions, and noisy context. This book shows you how to build production-ready, context-aware systems using Haystack and LangGraph. You’ll learn to design deterministic pipelines with strict tool contracts and deploy them as microservices. Through structured context engineering, you’ll orchestrate reliable agent workflows and move beyond simple prompt-based interactions. You'll start by understanding LLM behavior—tokens, embeddings, and transformer models—and see how prompt engineering has evolved into a full context engineering discipline. Then, you'll build retrieval-augmented generation (RAG) pipelines with retrievers, rankers, and custom components using Haystack’s graph-based architecture. You’ll also create knowledge graphs, synthesize unstructured data, and evaluate system behavior using Ragas and Weights & Biases. In LangGraph, you’ll orchestrate agents with supervisor-worker patterns, typed state machines, retries, fallbacks, and safety guardrails. By the end of the book, you’ll have the skills to design scalable, testable LLM pipelines and multi-agent systems that remain robust as the AI ecosystem evolves. *Email sign-up and proof of purchase required What you will learn Build structured retrieval pipelines with Haystack Apply context engineering to improve agent performance Serve pipelines as LangGraph-compatible microservices Use LangGraph to orchestrate multi-agent workflows Deploy REST APIs using FastAPI and Hayhooks Track cost and quality with Ragas and Weights & Biases Implement retries, circuit breakers, and observability Design sovereign agents for high-volume local execution Who this book is for LLM engineers, NLP developers, and data scientists looking to build production-grade pipelines, agentic workflows, or RAG systems. Ideal for tech leads looking to move beyond prototypes to scalable, testable solutions, as well as teams modernizing legacy NLP pipelines into orchestration-ready microservices. Proficiency in Python and familiarity with core NLP concepts are recommended.
The Agentic Ai Made Easy
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Author : Julian Sanchez
language : en
Publisher: Independently Published
Release Date : 2025-10-07
The Agentic Ai Made Easy written by Julian Sanchez and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-07 with Computers categories.
The Ultimate Beginner's Blueprint for Building Smarter, Autonomous AI SystemsAgentic AI is no longer reserved for elite labs or billion-dollar companies-it's now accessible to anyone ready to understand how modern AI thinks, plans, and acts. The Agentic AI Made Easy turns the complexity of autonomous systems into a practical, beginner-friendly roadmap for innovators, engineers, entrepreneurs, and professionals who want to stay ahead of the curve. For too long, AI education has been either overly technical or frustratingly vague. This book fixes that gap-by walking you step-by-step through the principles, design patterns, and real-world workflows behind today's agentic revolution. You'll finally understand how intelligent agents work-how they reason, learn, collaborate, and take action safely in real environments-and how to design your own. Here's just a fraction of what you'll learn: ✅ The core anatomy of an AI agent-goals, memory, tools, and actions-and how they come together to form intelligence ✅ How to connect large language models with real-world systems through planning, reasoning, and execution loops ✅ The critical difference between assistants, agents, and autonomous systems-and how to design each ✅ Step-by-step design frameworks used by top AI teams to make agents reliable, explainable, and safe ✅ The essential guardrails, policies, and safety nets that keep your agents aligned and under control ✅ How to prototype, test, and deploy small agents that actually deliver measurable results ✅ Simple modular patterns-reflection, tool orchestration, memory augmentation-that transform static models into dynamic, goal-driven agents ✅ Future trends shaping agentic AI-multi-modal intelligence, distributed collaboration, and self-improving agents-and how to prepare for them Whether you're a student, a developer entering the AI space, or a business leader preparing for the next wave of automation, this book will give you the foundation you need to understand and build with confidence. While other books overwhelm with theory or drown you in code, The Agentic AI Made Easy delivers clarity and action. It breaks down the chaos, replaces hype with structure, and gives you the knowledge to create agents that think, act, and evolve. If you've been waiting for a simple, powerful, and results-focused guide to agentic AI-this is it. Get your copy now and take the first real step into the future of intelligent autonomy.
Ux For Ai
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Author : Greg Nudelman
language : en
Publisher: John Wiley & Sons
Release Date : 2025-04-30
Ux For Ai written by Greg Nudelman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-30 with Computers categories.
Learn to research, plan, design, and test the UX of AI-powered products Unlock the future of design with UX for AI—your indispensable guide to not only surviving but thriving in a world powered by artificial intelligence. Whether you're a seasoned UX designer or a budding design student, this book offers a lifeline for navigating the new normal, ensuring you stay relevant, valuable, and indispensable to your organization. In UX for AI: A Framework for Designing AI-Driven Products, Greg Nudelman—a seasoned UX designer and AI strategist—delivers a battle-tested framework that helps you keep your edge, thrive in your design job, and seize the opportunities AI brings to the table. Drawing on insights from 35 real-world AI projects and acknowledging the hard truth that 85% of AI initiatives fail, this book equips you with the practical skills you need to reverse those odds. You'll gain powerful tools to research, plan, design, and test user experiences that seamlessly integrate human-AI interactions. From practical design techniques to proven user research methods, this is the essential guide for anyone determined to create AI products that not only succeed but set new standards of value and impact. Inside the book: Hands-on exercises: Build your confidence and skills with practice UX design tasks like Digital Twin and Value Matrix, which you can immediately apply to your own AI projects. Common AI patterns and best practices: Explore design strategies for LLMs (Large Language Models), search engines, copilots, and more. Proven user research strategies: Learn how to uncover user needs and behaviors in this brave new world of AI-powered design. Real-world case studies: See how simple, practical UX approaches have prevented multimillion-dollar failures and unlocked unprecedented value. Perfect for any UX designer working with AI-enabled and AI-driven products, UX for AI is also a must-read resource for designers-in-training and design students with an interest in artificial intelligence and contemporary design.
Artificial Intelligence Risk Management
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Author : Kurt J. Engemann
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2025-12-01
Artificial Intelligence Risk Management written by Kurt J. Engemann and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-01 with Business & Economics categories.
AI demonstrates the potential to impact virtually every aspect of modern life, making it one of the most transformative technologies of our time. AI has a wide range of applications across various sectors and as AI continues to evolve, its integration into various activities is expected to deepen, further changing how we work, live, and interact with the world around us. AI systems, from simple machine learning models to advanced autonomous agents, carry potential risks that can affect individuals, organizations, and society as a whole. Effective management of AI risks involves a comprehensive approach that includes risk identification, proactive mitigation strategies, and adherence to regulatory frameworks. By addressing these areas, stakeholders can navigate the complexities of AI development and ensure that these technologies are both beneficial and safe. As AI continues to evolve, so too must our strategies for managing its risks, requiring ongoing dialogue, research, and collaboration across all sectors of society. As AI technology advances, it's likely that more specific and stringent regulations will be developed both nationally and internationally to manage the integration of AI into society effectively.
Design Patterns For Dummies
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Author : Steve Holzner
language : en
Publisher: John Wiley & Sons
Release Date : 2006-07-28
Design Patterns For Dummies written by Steve Holzner and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-07-28 with Computers categories.
There's a pattern here, and here's how to use it! Find out how the 23 leading design patterns can save you time and trouble Ever feel as if you've solved this programming problem before? You — or someone — probably did, and that's why there's a design pattern to help this time around. This book shows you how (and when) to use the famous patterns developed by the "Gang of Four," plus some new ones, all designed to make your programming life easier. Discover how to: Simplify the programming process with design patterns Make the most of the Decorator, Factory, and Adapter patterns Identify which pattern applies Reduce the amount of code needed for a task Create your own patterns
Elemental Design Patterns
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Author : Jason McC. Smith
language : en
Publisher: Addison-Wesley
Release Date : 2012-03-23
Elemental Design Patterns written by Jason McC. Smith and has been published by Addison-Wesley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-23 with Computers categories.
2012 Jolt Award Finalist! Even experienced software professionals find it difficult to apply patterns in ways that deliver substantial value to their organizations. In Elemental Design Patterns, Jason McC. Smith addresses this problem head-on, helping developers harness the true power of patterns, map them to real software implementations more cleanly and directly, and achieve far better results. Part tutorial, part example-rich cookbook, this resource will help developers, designers, architects, and analysts successfully use patterns with a wide variety of languages, environments, and problem domains. Every bit as important, it will give them a deeper appreciation for the work they’ve chosen to pursue. Smith presents the crucial missing link that patterns practitioners have needed: a foundational collection of simple core patterns that are broken down to their core elements. If you work in software, you may already be using some of these elemental design patterns every day. Presenting them in a comprehensive methodology for the first time, Smith names them, describes them, explains their importance, helps you compare and choose among them, and offers a framework for using them together. He also introduces an innovative Pattern Instance Notation diagramming system that makes it easier to work with patterns at many levels of granularity, regardless of your goals or role. If you’re new to patterns, this example-rich approach will help you master them piece by piece, logically and intuitively. If you’re an experienced patterns practitioner, Smith follows the Gang of Four format you’re already familiar with, explains how his elemental patterns can be composed into conventional design patterns, and introduces highly productive new ways to apply ideas you’ve already encountered. No matter what your level of experience, this infinitely practical book will help you transform abstract patterns into high-value solutions.
Design Patterns
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Author : Erich Gamma
language : en
Publisher: Pearson Education India
Release Date :
Design Patterns written by Erich Gamma and has been published by Pearson Education India this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.