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A Simple Guide to Retrieval Augmented Generation Edition: 1
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A Simple Guide to Retrieval Augmented Generation Edition: 1

by Abhinav Kimothi

Artificial Intelligence

Book Details

Book Title

A Simple Guide to Retrieval Augmented Generation Edition: 1

Author

Abhinav Kimothi

Publisher

Manning Publications

Publication Date

2025

ISBN

9781633435858

Number of Pages

258

Language

English

Format

PDF

File Size

6.4MB

Subject

Cybernetics: Artificial Intelligence

Table of Contents

  • A Simple Guide to Retrieval Augmented Generation
  • brief contents
  • contents
  • preface
  • acknowledgments
  • about this book
  • about the author
  • about the cover illustration
  • Part 1 Foundations
  • Chapter 1. LLMs and the need for RAG
  • 1.1 Curse of the LLMs and the idea of RAG
  • 1.2 The novelty of RAG
  • 1.3 Popular RAG use cases
  • Chapter 2. RAG systems and their design
  • 2.1 What does a RAG system look like?
  • 2.2 Design of RAG systems
  • 2.3 Indexing pipeline
  • 2.4 Generation pipeline
  • 2.5 Evaluation and monitoring
  • 2.6 The RAGOps Stack
  • 2.7 Caching, guardrails, security, and other layers
  • Part 2 Creating RAG systems
  • Chapter 3. Indexing pipeline: Creating a knowledge base for RAG
  • 3.1 Data loading
  • 3.2 Data splitting (chunking)
  • 3.3 Data conversion (embeddings)
  • 3.4 Storage (vector databases)
  • Chapter 4. Generation pipeline: Generating contextual LLM responses
  • 4.1 Generation pipeline overview
  • 4.2 Retrieval
  • 4.3 Augmentation
  • 4.4 Generation
  • Chapter 5. RAG evaluation: Accuracy, relevance, and faithfulness
  • 5.1 Key aspects of RAG evaluation
  • 5.2 Evaluation metrics
  • 5.3 Frameworks
  • 5.4 Benchmarks
  • 5.5 Limitations and best practices
  • Part 3 RAG in production
  • Chapter 6. Progression of RAG systems: Naïve, advanced, and modular RAG
  • 6.1 Limitations of naïve RAG
  • 6.2 Advanced RAG techniques
  • 6.3 Pre-retrieval techniques
  • 6.4 Retrieval strategies
  • 6.5 Post-retrieval techniques
  • 6.6 Modular RAG
  • Chapter 7. Evolving RAGOps stack
  • 7.1 The evolving RAGOps stack
  • 7.2 Production best practices
  • Part 4 Additional considerations
  • Chapter 8. Graph, multimodal, agentic, and other RAG variants
  • 8.1 What are RAG variants, and why do we need them?
  • 8.2 Multimodal RAG
  • 8.3 Knowledge graph RAG
  • 8.4 Agentic RAG
  • 8.5 Other RAG variants
  • Chapter 9. RAG development framework and further exploration
  • 9.1 RAG development framework
  • 9.2 Design stage: Layering the RAGOps stack
  • 9.3 Ideas for further exploration
  • Index