RAG Systems with Generative AI by Swapneswar Sundar Ray (.ePUB)+
File Size: 12.1 MB
RAG Systems with Generative AI: Designing Context-Aware and Scalable AI Systems by Swapneswar Sundar Ray
Requirements: .ePUB, .PDF reader, 12.1 MB
Overview: Artificial Intelligence is rapidly transforming how systems are designed, built, and operated. Generative AI has introduced powerful capabilities—enabling machines to produce human-like responses, assist in complex workflows, and accelerate development across industries. However, there is a fundamental challenge. Generative systems can produce outputs that sound correct, but are not always grounded in real data. In enterprise environments, where accuracy and reliability are critical, this limitation becomes a significant barrier. In RAG Systems with Generative AI, Swapneswar Sundar Ray presents a practical, system-level approach to solving this problem through Retrieval-Augmented Generation (RAG)—a design paradigm that combines generative intelligence with real-time data retrieval to create context-aware and dependable AI systems. This book moves beyond theory to explore how modern AI systems are designed and deployed in real-world environments. It provides a structured framework for integrating data, retrieval, and generation into scalable, production-ready architectures. Drawing from hands-on experience in large-scale API platforms and enterprise systems, the author presents an implementation-driven perspective on applying AI to complex engineering challenges. His work includes designing high-scale API ecosystems used by external partners, where performance, consistency, and reliability are essential.
Genre: Non-Fiction > Tech & Devices
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