The New Generative AI with LangChain Playbook: Build Scalable, Secure, and Production-Ready Multi-Agent Systems for Real-World Business Applications by Bennett Kouri
The New Generative AI with LangChain Playbook: Build Scalable, Secure, and Production-Ready Multi-Agent Systems for Real-World Business Applications by Bennett Kouri
🚚 ক্যাশ অন ডেলিভারি সারা বাংলাদেশ 🕒 ৭২ ঘন্টার মধ্যে সারা দেশ এ ডেলিভারি
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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 by Bennett Kouri
The core thesis of The New Generative AI with LangChain Playbook is that while building a proof-of-concept chatbot is trivial, architecting an autonomous multi-agent system that real users can rely on is an immense systems engineering challenge. Traditional applications use explicit, deterministic code flows. Autonomous agents, however, are non-deterministic, heavily reliant on tool usage, and notoriously fragile when left unguided. Kouri details how to bridge this gap, asserting that a staggering 89% of enterprise AI initiatives collapse because developers skip foundational state-management and orchestration safeguards.
Kouri walks readers through an iterative journey to absolute agentic mastery using the latest iterations of LangChain. Rather than drowning developers in abstract machine learning theory, this book is intensely practical, delivering a 90-day architectural blueprint. It explores how to establish explicit stateful graphs, execute complex Router and Supervisor design patterns, handle non-deterministic tool calling gracefully, and connect robust Retrieval-Augmented Generation (RAG) nodes. From stopping infinite agent loops to managing token limits via smart conversational memory windowing, Kouri arms builders with the precise patterns Fortune 500 corporations pay premier consulting firms hundreds of thousands of dollars to implement.
As our regional software development industry makes a major pivot toward building autonomous internal tools, intelligent customer support agents, and automated data processing engines, engineering teams are encountering a brutal reality check. While writing basic code to hit an LLM API takes less than an hour, moving an autonomous agent into production without it breaking, leaking data, or getting trapped in expensive infinite loops requires a deep understanding of software systems architecture.
Language: English.
Genre: Agentic Architecture.
Binding: সেলাই করা বাইন্ডিং
Quality: Premium Quality Books.
Printing: High Quality Printing.
Paper: Eye Friendly paper (Cream White)
Cover: Matt cover (Paperback).
