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

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

19. Other Books You May Enjoy

Fundamentals of prompt design

When designing prompts for RAG applications, it’s essential to keep the following fundamentals in mind:

Be concise and specific: Clearly define the task you want the AI model to perform, and provide only the necessary information to complete the task effectively. For example, saying Please analyze the given context and provide an answer to the question, taking into account all the relevant information and details would be less concise and specific than saying Based on the context provided, answer the following question: [specific question].
Ask one task at a time: Break down complex tasks into smaller, more manageable sub-tasks, and create separate prompts for each sub-task to ensure better results. For example, if you said Summarize the main points of the context, identify the key entities mentioned, and then answer the given question, that is multiple tasks you are asking for at the same time. You would likely have better results if...

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