You're reading from Unlocking Data with Generative AI and RAG Enhance generative AI systems by integrating internal data with large language models using RAG

Product type Paperback

Published in Sep 2024

Publisher Packt

ISBN-13 9781835887905

Length 346 pages

Edition 1st Edition

Concepts

GPT/LLMs

Author (1):

Keith Bourne

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Table of Contents (20) Chapters

Preface

1. Part 1 – Introduction to Retrieval-Augmented Generation (RAG)

2. Chapter 1: What Is Retrieval-Augmented Generation (RAG) FREE CHAPTER

3. Chapter 2: Code Lab – An Entire RAG Pipeline

4. Chapter 3: Practical Applications of RAG

5. Chapter 4: Components of a RAG System

6. Chapter 5: Managing Security in RAG Applications

7. Part 2 – Components of RAG

8. Chapter 6: Interfacing with RAG and Gradio

9. Chapter 7: The Key Role Vectors and Vector Stores Play in RAG

10. Chapter 8: Similarity Searching with Vectors

11. Chapter 9: Evaluating RAG Quantitatively and with Visualizations

12. Chapter 10: Key RAG Components in LangChain

13. Chapter 11: Using LangChain to Get More from RAG

14. Part 3 – Implementing Advanced RAG

15. Chapter 12: Combining RAG with the Power of AI Agents and LangGraph

16. Chapter 13: Using Prompt Engineering to Improve RAG Efforts

17. Chapter 14: Advanced RAG-Related Techniques for Improving Results

18. Index

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19. Other Books You May Enjoy

Limitations to using Gradio

Probably the most important thing to keep in mind with Gradio is that it does not provide adequate support for building a production-level app that will be interfacing with hundreds, thousands, or even millions of users. In this case, you probably want to hire someone with expertise in building frontends for large-scale production-level applications. But for what we call a proof-of-concept (POC) type of app, or to build something that allows you to test out your app with users with basic interactivity and functionality, Gradio does a fantastic job.

Another limitation that you may come across when using Gradio for RAG applications is the lack of flexibility in what you can build. For many RAG applications, especially when building a POC, this will not be an issue. But if you or your users start demanding more sophisticated UI features, Gradio is going to be much more limiting than a full web development framework. Not only is it good for you to understand...

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You're reading from Unlocking Data with Generative AI and RAG Enhance generative AI systems by integrating internal data with large language models using RAG

Table of Contents (20) Chapters

Limitations to using Gradio

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Table of Contents (20) Chapters

Limitations to using Gradio

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