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

Summary

RAG’s practical applications are diverse and impactful, from enhancing chatbots and automated reporting to personalizing customer experiences and revolutionizing support across various sectors. RAG can help you bridge the gap between unstructured data and actionable insights, enhancing decision-making and strategic planning. RAG can help you generate dynamic, personalized product descriptions and recommendations, driving your sales and fostering brand loyalty.

RAG can enhance the searchability and utility of internal knowledge bases and can expand private data with outside general knowledge, crucial for sectors such as legal, compliance, R&D, and healthcare. It can aid you in innovation scouting and trend analysis and deliver highly targeted, engaging experiences through content personalization for your customers. RAG also offers your company personalized learning experiences, adapting to each employee’s needs and learning style.

As we conclude this...