Foundations of RAG: Retrieval-Augmented Generation with LLMs - Couverture souple

Balaji, Mr. Jarapala; Nandipati, Mr. Sai Karun

 
9798280996816: Foundations of RAG: Retrieval-Augmented Generation with LLMs
Couverture souple
ISBN 13 : 9798280996816
Editeur : Independently published, 2025

Synopsis

In an age defined by the exponential growth of information, large language models (LLMs) have emerged as transformative tools across research, industry, and creative disciplines. Yet even the most advanced models face a critical challenge: keeping pace with the ever-changing world and accessing specific, up-to-date, or domain-specific knowledge. This is where Retrieval-Augmented Generation (RAG) becomes not just an enhancement—but a necessity.

This guide, Foundations of RAG, serves as both an introduction and a deep dive. It explores the core concepts, design patterns, system architectures, and real-world applications of RAG systems. Whether you're a researcher developing cutting-edge LLM frameworks, an engineer building AI-powered search tools, or a product leader looking to incorporate RAG into your stack, this document is designed to illuminate the path forward.

As we move into a future where AI is expected to be not only intelligent but also informed, RAG stands as a cornerstone. This work aims to provide you with the foundational knowledge and practical insight needed to design, deploy, and evolve robust RAG-powered solutions.


Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Independently published
Date d'édition
2025
Langue
anglais
ISBN 13 
9798280996816
Reliure
Broché
Nombre de pages
106
Coordonnées du fabricant
Manufactured by Amazon on behalf of the author
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