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Book synopsis

Retrieval-Augmented Generation (RAG) represents the cutting edge of AI innovation, bridging the gap between large language models (LLMs) and real-world knowledge. This book provides the definitive roadmap for building, optimizing, and deploying enterprise-grade RAG systems that deliver measurable business value.

This comprehensive guide takes you beyond basic concepts to advanced implementation strategies, covering everything from architectural patterns to production deployment. You'll explore proven techniques for document processing, vector optimization, retrieval enhancement, and system scaling, supported by real-world case studies from leading organizations.

Key Learning Objectives

• Design and implement production-ready RAG architectures for diverse enterprise use cases
• Master advanced retrieval strategies including graph-based approaches and agentic systems
• Optimize performance through sophisticated chunking, embedding, and vector database techniques
• Navigate the integration of RAG with modern LLMs and generative AI frameworks
• Implement robust evaluation frameworks and quality assurance processes
• Deploy scalable solutions with proper security, privacy, and governance controls

Real-World Applications

• Intelligent document analysis and knowledge extraction

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik

• Full title: Mastering Retrieval-Augmented Generation
• Author: Ranajoy Bose
• Language: English
• Binding: Paperback
• Number of pages: 820
• EAN: 9798868818073
• ID: 49148988
• Publisher: APRESS L.P.
• Weight: 1276 g
• Dimensions: 235 × 155 mm
• Date of publishing: 26. December 2025

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