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Generative AI on Google Cloud with LangChain

You're reading from   Generative AI on Google Cloud with LangChain Design scalable generative AI solutions with Python, LangChain, and Vertex AI on Google Cloud

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Product type Paperback
Published in Dec 2024
Publisher Packt
ISBN-13 9781835889329
Length 306 pages
Edition 1st Edition
Concepts
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Author (1):
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Leonid Kuligin Leonid Kuligin
Author Profile Icon Leonid Kuligin
Leonid Kuligin
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Table of Contents (22) Chapters Close

Preface 1. Part 1: Intro to LangChain and Generative AI on Google Cloud
2. Chapter 1: Using LangChain with Google Cloud FREE CHAPTER 3. Chapter 2: Foundational Models on Google Cloud 4. Part 2: Hallucinations and Grounding Responses
5. Chapter 3: Grounding Responses 6. Chapter 4: Vector Search on Google Cloud 7. Chapter 5: Ingesting Documents 8. Chapter 6: Multimodality 9. Part 3: Common Generative AI Architectures
10. Chapter 7: Working with Long Context 11. Chapter 8: Building Chatbots 12. Chapter 9: Tools and Function Calling 13. Chapter 10: Agents 14. Chapter 11: Agentic Workflows 15. Part 4: Designing Generative AI Applications
16. Chapter 12: Evaluating GenAI Applications 17. Chapter 13: Generative AI System Design 18. Index 19. Other Books You May Enjoy Appendix 1: Overview of Generative AI 1. Appendix 2: Google Cloud Foundations

LangChain with Google Cloud

To get started, you need to have a Google Cloud project with billing and enable the Vertex AI API on it. If you are new to Google Cloud or you’re unfamiliar with some of the Google Cloud services that we mention during this section, take a look at Chapter 4.

You must authenticate yourself on Google Cloud. Most probably, you’ll be trying things out with a Jupyter notebook (and we’ll look into deploying your application to production in Chapter 16). In that case, you have a few options:

  • If you’re running a Jupyter notebook locally, you can use your local credentials. All you need to do is run the following in the terminal:
    gcloud auth application-default login
  • If you’re running a Colab notebook, you can authenticate with your own credentials (but you’ll need to refresh them each time after your instance is stopped):
    from google.colab import auth
    auth.authenticate_user()

If you’re using a Jupyter...

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Generative AI on Google Cloud with LangChain
Published in: Dec 2024
Publisher: Packt
ISBN-13: 9781835889329
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