Könyv Mastering Retrieval-Augmented Generation Ranajoy Bose

Mastering Retrieval-Augmented Generation

Szerző: Ranajoy Bose
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: APRESS L.P.
Elérhetőség: Beszállítói készleten
Küldés 9-13 napon belül
22 610 Ft
Retrieval-Augmented Generation (RAG) represents the cutting edge of AI innovation, bridging the gap...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2025
oldal
820
EAN
9798868818073
Enbook ID
49148988
Kiadó
Súly
1276
Méretek
155 x 235

Teljes leírás

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

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