 Название: The New Generative AI with LangChain Playbook: Build Scalable, Secure, and Production-Ready Multi-Agent Systems for Real-World Business Applications
Автор: Bennett Kouri
Издательство: Stack Logic
Год: 2025
Страниц: 685
Язык: английский
Формат: epub (true)
Размер: 38.8 MB
STOP Building Fragile AI Prototypes That Break in Production.
While your competitors struggle with basic chatbots, you'll be deploying bulletproof multi-agent systems that actually scale. This isn't another theoretical AI book—it's your unfair advantage in the $1.3 trillion AI revolution.
Generative AI has moved from academic novelty to enterprise imperative. When I first encountered LangChain, I saw more than just a framework for composing LLM calls—I saw the scaffolding of a new kind of digital intelligence, one that could orchestrate many specialized agents in concert. Over the past two years, I’ve worked with Fortune 500 firms and nimble startups alike, helping them navigate the treacherous path from proof-of-concept to production-ready deployment. What I learned is that success hinges not on the model itself, but on the architecture around it: how you connect data, enforce security, manage costs, and recover from inevitable failures.
This playbook condenses those lessons into a strategic roadmap and a library of battle-tested patterns. You’ll find deep dives on establishing a robust AI strategy, step-by-step guides to implementing advanced LangChain and LangGraph workflows, and production-grade code examples ready to drop into your CI/CD pipeline. Whether you’re an enterprise architect aiming to spin up an “AI factory,” or a developer tasked with the first chatbot pilot, these pages are designed to guide you beyond experimentation and into sustainable, scalable intelligence.
You don’t need a PhD in Machine Learning to benefit from this book—but you do need the willingness to rethink your systems as living, self-learning ecosystems.
Code Examples: This section provides production-oriented code examples that translate the architectural concepts discussed previously into practical implementations. The focus here is not on creating a trivial "hello world" demo, but on establishing the foundational patterns for building enterprise-grade systems with LangChain. These examples emphasize configuration management, security, observability, and integration—the pillars of a scalable AI application. All code assumes a Python 3.9+ environment.
In 90 days, you'll master what most developers take years to figure out:
Multi-agent architectures that Fortune 500 companies pay $500K+ to implement
Production-grade security frameworks that protect your AI from the vulnerabilities plaguing 73% of deployed systems
Scalable patterns that handle millions of requests without breaking
The brutal truth: 89% of AI projects fail because developers skip the fundamentals covered in Chapter 3 alone. Don't be another statistic.
Don't let another day pass watching others build the future while you're stuck in prototype hell—your breakthrough starts today!
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The New Generative AI with LangChain Playbook: Build Scalable, Secure, and Production-Ready Multi-Agent Systems for Real-World Business Applications 
