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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Training and education

RAG can be used by educational organizations, such as universities and secondary education. It can also be used by internal corporate training programs to keep their employees up to speed on vast amounts of ever-changing concepts they need their employees to be aware of. RAG can help generate or customize learning materials based on the specific needs, knowledge levels, and functions of the learners.

RAG has shown incredible promise for significantly improving learning and development in corporate environments. It is often a challenging task for businesses to keep their employees updated with the latest industry knowledge and skills, especially given today’s rapid pace of change across many industries. RAG helps address this challenge by offering personalized learning experiences that adapt to each employee’s individual needs, learning style, and pace with their content.

RAG can analyze an employee’s role, experience level, and learning...