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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

Main LangChain building blocks

Let’s have a high-level look at key LangChain building blocks. If you need a refresher on terms such as vectorstore, or embeddings are new to you, feel free to check the Index where you can find more details and links to relevant chapters with more detailed explanations.

Data structures

First, let’s explore some key data structures that you might encounter while developing applications. LangChain uses Pydantic, a Python data validation library; therefore, almost all LangChain data structures are Pydantic base models [7]. For those of you who are new to Pydantic, it’s a data validation Python library that allows you to define your data schemas, and if you haven’t heard about it, then you probably used an alternative schema definition library – dataclasses.

Note that LangChain has also its own langchain_core.load.Serializable class that inherits from Basemodel and adds additional control over serialization of...

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