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

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

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17. Other Books You May Enjoy

Introducing PITS – our LlamaIndex hands-on project

Nothing beats learning by doing.

So, I’ve cooked up a fun and useful project for us to start using LlamaIndex!

Here, we will introduce PITS. Wouldn’t it be cool to have an AI tutor that helps you learn new concepts interactively? Well, we’re going to build one together!

Here’s how it will work

First, you will introduce yourself to PITS. You’ll have the chance to describe the topic you want to learn about and specify any personal learning preferences you may have.

Then, you will be able to upload any existing study materials you may have on the topic. PITS will accept and ingest any PDFs, Word documents, or text files you may provide.

Based on the documents provided, the tutor will first build a quiz. You’ll have the option to complete the quiz. That way, the tutor will be able to gauge your current knowledge of the topic and adjust the learning experience.

Our nifty...

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

Table of Contents (18) Chapters

Introducing PITS – our LlamaIndex hands-on project

Here’s how it will work

Authors (1)

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

Table of Contents (18) Chapters

Introducing PITS – our LlamaIndex hands-on project

Here’s how it will work

Unlock this book and the full library FREE for 7 days

Authors (1)

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