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Building Data-Driven Applications with LlamaIndex

You're reading from   Building Data-Driven Applications with LlamaIndex A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781835089507
Length 368 pages
Edition 1st Edition
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Author (1):
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Andrei Gheorghiu Andrei Gheorghiu
Author Profile Icon Andrei Gheorghiu
Andrei Gheorghiu
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Table of Contents (18) Chapters Close

Preface 1. Part 1:Introduction to Generative AI and LlamaIndex
2. Chapter 1: Understanding Large Language Models FREE CHAPTER 3. Chapter 2: LlamaIndex: The Hidden Jewel - An Introduction to the LlamaIndex Ecosystem 4. Part 2: Starting Your First LlamaIndex Project
5. Chapter 3: Kickstarting Your Journey with LlamaIndex 6. Chapter 4: Ingesting Data into Our RAG Workflow 7. Chapter 5: Indexing with LlamaIndex 8. Part 3: Retrieving and Working with Indexed Data
9. Chapter 6: Querying Our Data, Part 1 – Context Retrieval 10. Chapter 7: Querying Our Data, Part 2 – Postprocessing and Response Synthesis 11. Chapter 8: Building Chatbots and Agents with LlamaIndex 12. Part 4: Customization, Prompt Engineering, and Final Words
13. Chapter 9: Customizing and Deploying Our LlamaIndex Project 14. Chapter 10: Prompt Engineering Guidelines and Best Practices 15. Chapter 11: Conclusion and Additional Resources 16. Index 17. Other Books You May Enjoy

Who this book is for

This book has been specifically designed for developers at varying stages of their careers who are eager to understand and exploit the capabilities of Generative AI, particularly through the use of RAG. It aims to serve as a foundational guide for those with a basic understanding of Python development and a general familiarity with Generative AI concepts.

Here are the key audiences who will find this book invaluable:

  • Entry-level developers: Individuals who have a foundational understanding of Python and are beginning their journey into the world of generative AI will find this book an excellent starting point. It will guide you through the initial steps of using the LlamaIndex framework to create robust and innovative applications. You’ll learn the core components, basic workflows, and best practices to kickstart your RAG application development journey.
  • Experienced developers: For those who are already familiar with the landscape of generative AI and are looking to deepen their expertise, this book offers insight into advanced topics within the LlamaIndex framework. You’ll discover how to leverage your existing skills to develop and deploy more complex RAG applications, enhancing the capabilities of your projects and pushing the boundaries of what’s possible with AI.
  • Professionals seeking to harness the full power of LLMs: If you’re looking to improve your productivity by building quick solutions for data-driven problems, this book will teach you the basic concepts and provide you with powerful abilities. If you’re a natural learner and want to experiment with this wonderful technology, this book will provide you with the tools to solve complex problems with greater efficiency and creativity.
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