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DESCRIPTION: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.
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