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

Product type Paperback

Published in May 2024

Publisher Packt

ISBN-13 9781835089507

Length 368 pages

Edition 1st Edition

Languages

Python

Tools

LlamaIndex

Concepts

GPT/LLMs

Author (1):

Andrei Gheorghiu

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Table of Contents (18) Chapters

Preface

1. Part 1:Introduction to Generative AI and LlamaIndex FREE CHAPTER

2. Chapter 1: Understanding Large Language Models

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

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Table of Contents (18) Chapters

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