{"product_id":"llm-context-engineering-a-hands-on-guide-to-rag-mcp-and-langchain-for-building-smarter-more-reliable-ai-9798277920626","title":"LLM Context Engineering: A Hands-On Guide to RAG, MCP, and LangChain for Building Smarter, More Reliable AI","description":"\u003cp\u003e • Author(s): Ronald Carper\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - Generative AI\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003cb\u003eWhat if building reliable AI wasn't about bigger models, but about giving them the right context?\u003c\/b\u003e\u003c\/b\u003e\u003cbr\u003eModern developers are searching for practical ways to reduce hallucinations, improve accuracy, and create AI systems they can trust in real-world environments. This book answers that need with a hands-on, engineering-focused approach to Retrieval-Augmented Generation (RAG), the Model Context Protocol (MCP), and LangChain.\u003cbr\u003e\u003cb\u003e\u003cb\u003eLLM Context Engineering\u003c\/b\u003e\u003c\/b\u003e shows how to design AI systems that use information effectively, reason with clarity, and interact with tools and data safely. Whether you're an AI engineer, a developer building LLM applications, or a learner determined to understand how modern context-aware systems work, this book gives you the technical foundation and practical strategies to build smarter, more dependable AI.\u003cbr\u003eYou'll learn \u003ci\u003e\u003ci\u003ewhy\u003c\/i\u003e\u003c\/i\u003e context matters, \u003ci\u003e\u003ci\u003ehow\u003c\/i\u003e\u003c\/i\u003e retrieval pipelines function, and \u003ci\u003e\u003ci\u003ewhat\u003c\/i\u003e\u003c\/i\u003e it takes to integrate embeddings, vector stores, tool calling, agents, and orchestration workflows that perform consistently under real production constraints. Readers benefit from both conceptual clarity and hands-on examples that bring each system to life.\u003cbr\u003e\u003cb\u003e\u003cb\u003eWhat makes this book stand out?\u003c\/b\u003e\u003c\/b\u003e\u003cbr\u003eIt focuses on real engineering challenges and provides a structured look at the technologies shaping today's AI systems, including: \u003cbr\u003e\u003cb\u003e\u003cb\u003eFoundations of Context Engineering: \u003c\/b\u003e\u003c\/b\u003e Why context quality directly affects LLM accuracy, reliability, and reasoning.\u003cbr\u003e\u003cb\u003e\u003cb\u003eRetrieval-Augmented Generation: \u003c\/b\u003e\u003c\/b\u003e How retrieval works, how to improve relevance, and how to reduce hallucinations with solid data pipelines.\u003cbr\u003e\u003cb\u003e\u003cb\u003eModel Context Protocol (MCP): \u003c\/b\u003e\u003c\/b\u003e How to design safe tool interactions, build tool servers, and manage deterministic workflows.\u003cbr\u003e\u003cb\u003e\u003cb\u003eLangChain in Practice: \u003c\/b\u003e\u003c\/b\u003e Building agents, pipelines, and evaluation workflows that scale.\u003cbr\u003e\u003cb\u003e\u003cb\u003eProduction-Focused Patterns: \u003c\/b\u003e\u003c\/b\u003e Architecture options, evaluation strategies, failure handling, and observability.\u003cbr\u003e\u003cb\u003e\u003cb\u003eHands-On Projects: \u003c\/b\u003e\u003c\/b\u003e End-to-end examples that bring RAG, MCP, and LangChain together into practical, testable systems.\u003cbr\u003eReaders will find answers to the questions engineers ask every day: How do I build an AI system that stays grounded? What makes retrieval robust? How can tools and models interact without unpredictable behavior? What engineering patterns lead to scalable, testable applications?\u003cbr\u003eIf you want to improve your AI systems' accuracy, strengthen your retrieval pipelines, or build applications that behave consistently with real data and tools, this book gives you the guidance to make it happen.\u003cbr\u003e\u003cb\u003e\u003cb\u003eBuild smarter. Build reliably. Get the practical reference every AI engineer needs\u003c\/b\u003e\u003c\/b\u003e\u003cb\u003e\u003cb\u003e.\u003c\/b\u003e\u003c\/b\u003e\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47779049177239,"sku":"9798277920626","price":1738.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798277920626.webp?v=1778033051","url":"https:\/\/atlanticbooks.com\/products\/llm-context-engineering-a-hands-on-guide-to-rag-mcp-and-langchain-for-building-smarter-more-reliable-ai-9798277920626","provider":"Atlantic Books","version":"1.0","type":"link"}