{ "item_title" : "Practical Generative AI Engineering with LangChain and LlamaIndex", "item_author" : [" Alistair Finch "], "item_description" : "Tired of theoretical Generative AI discussions and grappling with the complexities of building robust, production-grade LLM applications? Are you struggling to move beyond simple prompt engineering to truly leverage the power of LangChain and LlamaIndex for RAG systems and real-world deployment? The gap between exciting LLM capabilities and practical, scalable engineering solutions can feel vast. In this book you will learn:- How to architect and implement advanced RAG systems combining LangChain and LlamaIndex for superior retrieval and generation.- Practical strategies for building, evaluating, and monitoring LLM applications at scale.- Techniques for optimizing costs, enhancing performance, and ensuring the security of your GenAI solutions.- Best practices for ethical considerations and responsible AI development in your projects.- Hands-on methods for deploying LLM workflows into production environments with confidence.- Master advanced prompt engineering, agentic systems, and output parsing with LangChain. Who this book is for: This book is meticulously crafted for mid-to-senior level Machine Learning Engineers, Data Scientists, and Software Developers eager to transition from experimental LLM projects to stable, efficient, and impactful production systems. What's inside: This guide walks you through the journey from understanding core GenAI concepts to implementing advanced solutions, following a clear Problem→Realisation→Solution→Outcome structure. Every technical concept is reinforced with practical code examples available in the companion GitHub repository. Elevate your Generative AI engineering skills. Transform your LLM concepts into production-ready reality-order your copy today", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/819/891/9798198915305_b.jpg", "price_data" : { "retail_price" : "37.00", "online_price" : "37.00", "our_price" : "37.00", "club_price" : "37.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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