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)

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

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RAG for automated reporting

Companies that use RAG in combination with data analysis and reporting through its automated reporting capabilities are seeing significant improvements in their capabilities and the time it takes to perform the analysis. This innovative application of RAG serves as a bridge between the vast data lakes of unstructured data and the actionable insights that businesses need daily to drive key decisions and innovation. By utilizing RAG for automated reporting, companies can significantly streamline their reporting processes, enhance accuracy, and uncover valuable insights hidden within their data. Let’s start with how it can be utilized in this environment.

How RAG is utilized with automated reporting

While there are countless ways to set up this type of automated reporting, it is common to target areas where reports are relatively standard, making it easier to codify into a RAG environment. Often, you start with an automated report that is already...

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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

RAG for automated reporting

How RAG is utilized with automated reporting

Authors (1)

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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

RAG for automated reporting

How RAG is utilized with automated reporting

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Authors (1)

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