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Retrieval-Augmented Generation Made Simple: A Clear Guide to Building AI That Searches, Understands, and Responds Accurately

by Fred Thompson
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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: 9798241890573
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 160
  • Original Price: USD 17.99
  • Language: English
  • Edition: N/A
  • Item Weight: 191 grams
  • BISAC Subject(s): Artificial Intelligence / Generative AI

Unlock the full power of Retrieval-Augmented Generation and elevate your AI skills from beginner to expert with the most comprehensive RAG guide ever published.

Retrieval-Augmented Generation Made Simple is the definitive all-in-one resource for learning, building, and scaling accurate, grounded AI systems. Whether you're completely new to advanced language model techniques or already experimenting with LLMs and seeking production-grade reliability, this book will guide you step by step from core concepts to sophisticated, real-world deployments.

Inside, you'll discover how to:

  • Understand why pure generation falls short and how RAG solves hallucinations, knowledge cutoffs, and traceability issues.
  • Master the complete RAG pipeline: embeddings, chunking, vector databases, retrieval strategies, and context-augmented generation.
  • Build your first functional RAG systems using LangChain, LlamaIndex, and popular vector stores like Chroma, Pinecone, and Weaviate.
  • Implement advanced retrieval techniques including hybrid search, reranking, query expansion (HyDE), metadata filtering, and contextual compression.
  • Craft precise prompts, manage long contexts, and eliminate residual hallucinations for faithful, high-quality responses.
  • Evaluate RAG performance rigorously with modern metrics and frameworks like RAGAS, TruLens, and DeepEval.
  • Scale, secure, and productionize RAG applications with confidence-covering latency optimization, cost control, security best practices, and maintenance pipelines.

Access practical hands-on tutorials, complete code examples, real-world case studies, and battle-tested patterns you can adapt immediately to your projects.

Unlike fragmented blog posts, scattered tutorials, or academic papers, this book delivers a complete, structured journey-blending clear theory, step-by-step implementation, evaluation strategies, and production engineering insights from experienced practitioners.

By the end, you won't just "try" RAG; you'll master it as a strategic tool for building trustworthy, accurate, and scalable AI applications in customer support, legal tech, healthcare, research, internal knowledge bases, and beyond.

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