Published by Amazon Digital Services LLC - Kdp
ISBN 13: 9798306376912
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Neuware - In today's data-driven world, businesses are increasingly reliant on applications that leverage vast amounts of knowledge. From customer service chatbots to personalized recommendations, these applications require efficient and scalable access to information.
Published by Amazon Digital Services LLC - Kdp, 2025
ISBN 13: 9798306376912
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by Amazon Digital Services LLC - Kdp, 2025
ISBN 13: 9798306376912
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
US$ 23.10
Quantity: Over 20 available
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Published by Independently Published, 2025
ISBN 13: 9798306376912
Seller: CitiRetail, Stevenage, United Kingdom
US$ 27.46
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Add to basketPaperback. Condition: new. Paperback. In today's data-driven world, businesses are increasingly reliant on applications that leverage vast amounts of knowledge. From customer service chatbots to personalized recommendations, these applications require efficient and scalable access to information.This book delves into the world of Retrieval Augmented Generation (RAG), a powerful technique that combines the strengths of information retrieval and large language models (LLMs). RAG enables applications to access and process relevant information from external sources, significantly enhancing their accuracy, relevance, and overall performance.Key takeaways: Master the fundamentals of RAG: Understand the core concepts, components, and benefits of this transformative approach.Optimize RAG performance: Explore techniques for efficient data retrieval, indexing, and LLM interaction to maximize speed and accuracy.Scale RAG systems: Learn how to design and implement scalable architectures to handle growing data volumes and user demands.Address real-world challenges: Discover practical solutions for common issues like data bias, hallucinations, and maintaining data freshness.Explore advanced topics: Dive deeper into cutting-edge research areas, such as hybrid search, multi-hop retrieval, and explainable RAG.This book is an invaluable resource for: Data scientists and machine learning engineersSoftware developers and architectsBusiness leaders and decision-makersAnyone interested in building cutting-edge knowledge-intensive applicationsBy mastering RAG, you can unlock the full potential of your data and build applications that are more intelligent, responsive, and user-centric. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.