Mastering RAG: Designing Intelligent, Knowledge-Powered Language Models
by Lax Solace
A practical guide to designing retrieval-augmented generation systems that combine language models with external knowledge for more accurate and relevant outputs.
About This Book
Mastering RAG explores the design and implementation of retrieval-augmented generation systems for language models.
The book examines how external knowledge sources can be integrated with large language models to improve accuracy and relevance.
Readers will learn core concepts behind retrieval mechanisms, embedding strategies, and knowledge-powered applications.
Guidance is provided on designing intelligent systems that leverage both parametric and non-parametric knowledge.
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