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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

Prompt Engineering Guidelines and Best Practices

In this chapter, we embark on an exploration of how the latest advancements in technology are reshaping our interaction with digital tools and applications. As the digital landscape evolves, the traditional interfaces we’ve relied upon for decades are being reimagined, paving the way for more intuitive and efficient forms of communication between humans and machines. At the heart of this transformation is the advent of conversational interfaces powered by natural language (NL). As a result, understanding how to write effective prompts to customize the behavior of our LlamaIndex components becomes a critical skill in building and improving RAG applications.

Therefore, in this chapter, we’re going to cover the following main topics:

  • Why prompts are your secret weapon
  • Understanding how LlamaIndex uses prompts
  • Customizing default prompts
  • The golden rules of prompt engineering
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