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Building AI Applications with Microsoft Semantic Kernel

You're reading from   Building AI Applications with Microsoft Semantic Kernel Easily integrate generative AI capabilities and copilot experiences into your applications

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781835463703
Length 252 pages
Edition 1st Edition
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Author (1):
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Lucas A. Meyer Lucas A. Meyer
Author Profile Icon Lucas A. Meyer
Lucas A. Meyer
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Table of Contents (14) Chapters Close

Preface 1. Part 1:Introduction to Generative AI and Microsoft Semantic Kernel FREE CHAPTER
2. Chapter 1: Introducing Microsoft Semantic Kernel 3. Chapter 2: Creating Better Prompts 4. Part 2: Creating AI Applications with Semantic Kernel
5. Chapter 3: Extending Semantic Kernel 6. Chapter 4: Performing Complex Actions by Chaining Functions 7. Chapter 5: Programming with Planners 8. Chapter 6: Adding Memories to Your AI Application 9. Part 3: Real-World Use Cases
10. Chapter 7: Real-World Use Case – Retrieval-Augmented Generation 11. Chapter 8: Real-World Use Case – Making Your Application Available on ChatGPT 12. Index 13. Other Books You May Enjoy

Dealing with larger, more complex chains

In the previous chapter, we created three plugins:

  • CheckSpreadsheet: A native plugin that checks that the Excel spreadsheet contains the required fields and that they fulfill some rules
  • ParseWordDocument: A native plugin that extracts text from a Word document
  • ProposalChecker: A semantic plugin that checks whether text blocks fulfill some requirements, such as “does this text block describe a team that has a Ph.D. and a medical doctor?”

With these three plugins, you can already solve the business problem of checking proposals by calling each plugin separately and writing the logic to handle whether there was an error. This is likely sufficient for problems that have a small number of steps.

While we are still going to use a small number of steps and a small number of documents for didactic purposes, the approach to analyzing and making decisions on a large number of documents presented in this chapter...

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