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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 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 17. Other Books You May Enjoy

Preparing our coding environment

Before we embark on the LlamaIndex coding journey, it’s essential to set up our development environment properly. This setup is the first step toward ensuring that we can smoothly run through the examples and exercises I’ve prepared for you.

Note

To maintain simplicity and ensure consistency across all examples, I’ve designed the sample code to be run in a local Python environment. I’m aware that many of you are fond of using web-based coding environments such as Google Colab and Jupyter Notebooks for your coding projects, so I kindly ask for your understanding if these examples do not directly translate to or run in these platforms. My goal was to keep our setup straightforward, allowing us to focus on the learning experience without compatibility concerns. Thank you for your understanding and happy coding!

Let’s quickly get our computer set up for some cool LlamaIndex coding.

Installing Python

You...

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