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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Prompting, prompt design, and prompt engineering revisited

In the vocabulary section of Chapter 1, we discussed these three concepts and how they interplay. As a refresher, we provided these bullets:

Prompting is the act of sending a query or prompt to an LLM.
Prompt design refers to the strategy you take to design the prompt you will send to the LLM. Many different prompt design strategies work in different scenarios.
Prompt engineering focuses more on the technical aspects surrounding the prompt that you use to improve the outputs from the LLM. For example, you may break up a complex query into two or three different LLM interactions, engineering it better to achieve superior results.

We had promised to revisit these topics in Chapter 13, and so we are here to deliver on that promise! We will not only revisit these topics but also show you how this is actually performed in code. Prompting is a relatively straightforward concept, so we will focus on the other...