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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

Centralizing logging in Google Cloud

Logging is an essential component of any well-managed cloud environment. It provides valuable insights into your application’s behavior, helps you troubleshoot issues, and is crucial for security and compliance purposes. In Google Cloud, Cloud Logging offers a centralized platform for collecting, storing, and analyzing logs from your various resources. By consolidating logs from different projects and resources into a single location, you can easily search, filter, and analyze log data. This offers improved security by helping you identify security threats, track unauthorized access attempts, and monitor anomalies in your system behavior. Centralizing logs also simplifies compliance efforts.

Setting up centralized logging

First, you must ensure that Cloud Logging is enabled for your organization and individual projects. This can be done through the Google Cloud console or by using the gcloud command-line tool. Next, you should create...

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