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

Prompting

Prompts are a fundamental part of any generative AI application, not just RAG. When you start talking about prompts, particularly with RAG, you know LLMs are going to be involved soon after. But first, you must create and prepare a proper prompt for our LLM. In theory, you could write your prompt, but I wanted to take this chance to teach you this very common development pattern and get you used to using it when you need it. In this example, we’ll pull the prompt from the LangChain Hub.

LangChain describes its Hub as a place to “discover, share, and version control prompts.” Other users of the hub have shared their polished prompts here, making it easier for you to build off common knowledge. It is a good way to start with prompts, pulling down pre-designed prompts and seeing how they are written. But you will eventually want to move on to writing your own, more customized prompts.

Let’s talk about what the purpose of this prompt is in terms...