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Mastering Retrieval-Augmented Generation
Language
English
English
Book
Paperback
Retrieval-Augmented Generation (RAG) represents the cutting edge of AI innovation, bridging the gap...
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Libristo code: 49148988
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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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About the book
Full name
Mastering Retrieval-Augmented Generation
Author
Ranajoy Bose
Language
English
English
Binding
Book - Paperback
Date of issue
2025
Number of pages
820
EAN
9798868818073
Libristo code
49148988
Publishers
APRESS L.P.
Weight
1276
Dimensions
155 x 235
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