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) FREE CHAPTER

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

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

UI

At some point, to make this application more professional and usable, you must add a way for regular users who do not have your code to enter their queries directly and see the results. The UI serves as the primary point of interaction between the user and the system and therefore is a critical component when building a RAG application. Advanced interfaces might include natural language understanding (NLU) capabilities to interpret the user’s intent more accurately, a form of natural language processing (NLP) that focuses on the understanding part of natural language. This component is crucial for ensuring that users can easily and effectively communicate their needs to the system.

This begins with replacing this last line with a UI:

rag_chain.invoke("What are the Advantages of using RAG?")

This line would be replaced with an entry field for the user to submit a text question, rather than a set string that we pass it in, as shown here.

This also includes...

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Table of Contents (20) Chapters

UI

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Table of Contents (20) Chapters