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

Code lab 5.1 – Securing your keys

This code can be found in the CHAPTER5-1_SECURING_YOUR_KEYS.ipynb file in the CHAPTER_05 directory of the GitHub repository.

In Chapter 2, we provided a coding step right after adding imports where we added your OpenAI API key. In that section, we indicated that it was a very simple demonstration of how the API key is ingested into the system, but this is not a secure way to use an API key. Typically, as your RAG application expands, you will have multiple API keys as well. But even if you only have the OpenAI API key, this is enough to institute further security measures to protect your key. This key can be used to run up expensive bills on your OpenAI account, exposing you to potential financial risk.

We are going to start this code lab with a very common security-driven practice of hiding your sensitive API code (and any other secret code) in a separate file that can be hidden from your versioning system. The most typical reason to...

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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

Code lab 5.1 – Securing your keys

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Table of Contents (20) Chapters

Code lab 5.1 – Securing your keys

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