{"product_id":"unlocking-data-with-generative-ai-and-rag-by-keith-bourne","title":"Unlocking Data with Generative AI and RAG\nby Keith Bourne","description":"\u003cp\u003eLeverage cutting-edge generative AI techniques such as RAG to realize the potential of your data and drive innovation as well as gain strategic advantage\u003c\/p\u003e\n\n\u003cp\u003eFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*\u003c\/p\u003e\n\n\u003cp\u003eKey Features\u003cbr\u003e\nOptimize data retrieval and generation using vector databases\u003cbr\u003e\nBoost decision-making and automate workflows with AI agents\u003cbr\u003e\nOvercome common challenges in implementing real-world RAG systems\u003cbr\u003e\nPurchase of the print or Kindle book includes a free PDF eBook\u003cbr\u003e\nBook Description\u003cbr\u003e\nGenerative AI is helping organizations tap into their data in new ways, with RAG combining the strengths of LLMs with internal data for more intelligent and relevant AI applications. The author harnesses his decade of ML experience in this book to equip you with the strategic insights and technical expertise needed when using RAG to drive transformative outcomes.\u003c\/p\u003e\n\n\u003cp\u003eThe book explores RAG’s role in enhancing organizational operations by blending theoretical foundations with practical techniques. You’ll work with detailed coding examples using tools such as LangChain and Chroma’s vector database to gain hands-on experience in integrating RAG into AI systems. The chapters contain real-world case studies and sample applications that highlight RAG’s diverse use cases, from search engines to chatbots. You’ll learn proven methods for managing vector databases, optimizing data retrieval, effective prompt engineering, and quantitatively evaluating performance. The book also takes you through advanced integrations of RAG with cutting-edge AI agents and emerging non-LLM technologies.\u003c\/p\u003e\n\n\u003cp\u003eBy the end of this book, you’ll be able to successfully deploy RAG in business settings, address common challenges, and push the boundaries of what’s possible with this revolutionary AI technique.\u003c\/p\u003e\n\n\u003cp\u003e*Email sign-up and proof of purchase required\u003c\/p\u003e\n\n\u003cp\u003eWhat you will learn\u003cbr\u003e\nUnderstand RAG principles and their significance in generative AI\u003cbr\u003e\nIntegrate LLMs with internal data for enhanced operations\u003cbr\u003e\nMaster vectorization, vector databases, and vector search techniques\u003cbr\u003e\nDevelop skills in prompt engineering specific to RAG and design for precise AI responses\u003cbr\u003e\nFamiliarize yourself with AI agents' roles in facilitating sophisticated RAG applications\u003cbr\u003e\nOvercome scalability, data quality, and integration issues\u003cbr\u003e\nDiscover strategies for optimizing data retrieval and AI interpretability\u003cbr\u003e\nWho this book is for\u003cbr\u003e\nThis book is for AI researchers, data scientists, software developers, and business analysts looking to leverage RAG and generative AI to enhance data retrieval, improve AI accuracy, and drive innovation. It is particularly suited for anyone with a foundational understanding of AI who seeks practical, hands-on learning. The book offers real-world coding examples and strategies for implementing RAG effectively, making it accessible to both technical and non-technical audiences. A basic understanding of Python and Jupyter Notebooks is required.\u003c\/p\u003e\n\n\u003cp\u003eTable of Contents\u003cbr\u003e\nWhat Is Retrieval-Augmented Generation (RAG)\u003cbr\u003e\nCode Lab – An Entire RAG Pipeline\u003cbr\u003e\nPractical Applications of RAG\u003cbr\u003e\nComponents of a RAG System\u003cbr\u003e\nManaging Security in RAG Applications\u003cbr\u003e\nInterfacing with RAG and Gradio\u003cbr\u003e\nThe Key Role Vectors and Vector Stores Play in RAG\u003cbr\u003e\nSimilarity Searching with Vectors\u003cbr\u003e\nEvaluating RAG Quantitatively and with Visualizations\u003cbr\u003e\nKey RAG Components in LangChain\u003cbr\u003e\nUsing LangChain to Get More from RAG\u003cbr\u003e\nCombining RAG with the Power of AI Agents and LangGraph\u003cbr\u003e\nUsing Prompt Engineering to Improve RAG Efforts\u003cbr\u003e\nAdvanced RAG-Related Techniques for Improving Results\u003c\/p\u003e","brand":"Books Feri","offers":[{"title":"Premium Paperback","offer_id":45409997750463,"sku":null,"price":275.0,"currency_code":"BDT","in_stock":true},{"title":"Premium Hardcover","offer_id":45405208576191,"sku":null,"price":375.0,"currency_code":"BDT","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0692\/8148\/0895\/files\/817-QwlIfKL._SY342.jpg?v=1772989029","url":"https:\/\/booksferi.store\/products\/unlocking-data-with-generative-ai-and-rag-by-keith-bourne","provider":"Books Feri","version":"1.0","type":"link"}