{ "item_title" : "Retrieval-Augmented Generation (RAG)", "item_author" : [" Logan Trent Wilder "], "item_description" : "Book DescriptionUnlock the power of Retrieval-Augmented Generation (RAG) - the groundbreaking fusion of knowledge, search, and large language models that's redefining the future of artificial intelligence.In an era where data and intelligence must work hand in hand, Retrieval-Augmented Generation (RAG) empowers AI systems to move beyond static memory and into dynamic reasoning. This comprehensive guide walks you through everything you need to master RAG - from core theory to real-world applications - helping you build smarter, context-aware, and more trustworthy AI solutions.What You'll LearnUnderstand RAG from the ground up - grasp how retrieval and generation work together to enhance large language models (LLMs).Master practical implementation - set up your environment, build pipelines, and integrate tools like LangChain, LlamaIndex, and Haystack.Optimize performance - learn embedding strategies, hybrid retrieval techniques, and fine-tuning methods that boost precision and relevance.Explore advanced topics - dive into multimodal RAG, AI agents, autonomous workflows, and cross-domain retrieval systems.Apply real-world use cases - build healthcare, finance, education, and enterprise RAG systems using practical, step-by-step examples.Who This Book Is ForAI Developers & Engineers - who want to build intelligent, knowledge-aware applications.Data Scientists & Researchers - seeking to integrate retrieval-based reasoning into existing LLM systems.Students & Enthusiasts - looking to learn RAG concepts from beginner to advanced levels with clarity and structure.Tech Innovators & Startups - exploring how to leverage RAG for real-world business solutions and automation.Why This Book Stands OutComprehensive and practical: Blends theory, architecture, and implementation - no fluff, just actionable insights.Text-based visuals only: Clean, code-friendly formatting with flowcharts, tables, pseudocode, and examples.A+ content ready: Structured for readability, discoverability, and engagement across print and digital platforms.SEO-optimized: Includes essential keywords - Retrieval-Augmented Generation, LLMs, AI, Knowledge, Search, Machine Learning, Agents, LangChain, Hugging Face - to enhance visibility on Amazon and Google.Inside You'll Find17 meticulously structured chapters covering everything from RAG foundations to advanced workflows and automation.Dozens of hands-on examples, step-by-step projects, tips, and best practices.A complete glossary, comparison tables, pseudocode templates, and recommended research papers to accelerate your mastery.Whether you're an AI researcher, developer, or simply passionate about the future of intelligent systems - this is your definitive guide to building smarter, retrieval-augmented AI.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/826/981/9798269815312_b.jpg", "price_data" : { "retail_price" : "18.99", "online_price" : "18.99", "our_price" : "18.99", "club_price" : "18.99", "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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