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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
Languages
Concepts
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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

Starting our PITS project – hands-on exercise

Are you ready for a bit of hands-on practice? It’s time to start building our PITS project. We have enough theoretical groundwork laid out and, in this chapter, we’ll begin the preparation for the more advanced elements to come.

I’ve tried to build the project in a modular structure. I believe it helps a lot with code clarity and will enable us to go through some of the important concepts from LlamaIndex one by one. As I mentioned in the previous chapter, you can either write the code alongside reading the book or download and study it in full using the GitHub repository that I’ve made available to you.

Disclaimer

There are many aspects that can be improved in the existing code base, and quite a few features are missing from it for PITS to be considered a production-ready application. For example, in my implementation, there is no authentication and the application is a single user. Also, to keep...

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