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Mastering Retrieval-Augmented Generation: Build Smarter AI Systems by Combining Knowledge Retrieval with Next-Level Language Generation

by Raymond Tech
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₹1,880.00
Original price ₹1,880.00
Original price ₹1,880.00
₹1,880.00
Current price ₹1,880.00

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Book cover type: Paperback
  • ISBN13: 9798246166789
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 114
  • Original Price: USD 17.99
  • Language: English
  • Edition: N/A
  • Item Weight: 141 grams
  • BISAC Subject(s): Artificial Intelligence / Natural Language Processing

Unlock the full potential of AI-driven intelligence and transform your applications from simple chatbots into authoritative knowledge engines with the most comprehensive guide to RAG ever written. Mastering Retrieval-Augmented Generation is the definitive all-in-one resource for designing, deploying, and scaling high-precision AI systems.

Whether you are an AI engineer looking to eliminate hallucinations or a developer building your first context-aware application, this book provides a rigorous, step-by-step journey from vector embeddings to autonomous agents. Inside, you'll discover how to:

  • Ingest and Refine Data: Master the art of layout-aware parsing, cleaning, and semantic chunking to ensure your AI always works with high-fidelity information.

  • Architect Superior Retrieval: Implement hybrid search, query transformations (HyDE, Multi-Query), and two-stage re-ranking to achieve surgical precision in data discovery.

  • Optimize the Generator: Design advanced prompt templates and manage expanding context windows to produce grounded, verifiable responses with robust source attribution.

  • Build Agentic Workflows: Transition from static pipelines to autonomous agents capable of multi-step reasoning, self-correction, and tool usage.

  • Evaluate and Monitor: Deploy the "RAG Triad" (Faithfulness, Relevance, Precision) and use LLM-as-a-judge frameworks to maintain production-grade reliability.

  • Future-Proof Your Skills: Explore the cutting edge of GraphRAG, Multimodal retrieval, and Long-Context window management.

Unlike abstract research papers or basic online tutorials, this book delivers a complete mastery path-blending deep architectural theory with hands-on implementation patterns used by real-world AI experts. By the end, you won't just "use" RAG; you'll architect it as a strategic engine for enterprise innovation and accuracy.

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