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Unlocking Data with Generative AI and RAG

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

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Product type Paperback
Published in Sep 2024
Publisher Packt
ISBN-13 9781835887905
Length 346 pages
Edition 1st Edition
Concepts
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Author (1):
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Keith Bourne Keith Bourne
Author Profile Icon Keith Bourne
Keith Bourne
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Table of Contents (20) Chapters Close

Preface 1. Part 1 – Introduction to Retrieval-Augmented Generation (RAG)
2. Chapter 1: What Is Retrieval-Augmented Generation (RAG) FREE CHAPTER 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

Summary

The integration of vectors and vector stores into RAG systems is foundational for enhancing the efficiency and accuracy of information retrieval and generation tasks. By carefully selecting and optimizing your vectorization approach, as well as your vector store, you can significantly improve the performance of your RAG system. Vectorization techniques and vector stores are only part of how vectors play a role in RAG systems; they also play a major role in our retrieval stage. In the next chapter, we will address the retrieval role vectors play, going in-depth on the subject of vector similarity search algorithms and services.

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