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Generative AI Application Integration Patterns

You're reading from Generative AI Application Integration Patterns Integrate large language models into your applications

Product type Paperback

Published in Sep 2024

Publisher Packt

ISBN-13 9781835887608

Length 218 pages

Edition 1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Artificial Intelligence

Authors (2):

Luis Lopez Soria

Juan Pablo Bustos

View More author details

Table of Contents (13) Chapters

Preface

1. Introduction to Generative AI Patterns

2. Identifying Generative AI Use Cases FREE CHAPTER

3. Designing Patterns for Interacting with Generative AI

4. Generative AI Batch and Real-Time Integration Patterns

5. Integration Pattern: Batch Metadata Extraction

6. Integration Pattern: Batch Summarization

7. Integration Pattern: Real-Time Intent Classification

8. Integration Pattern: Real-Time Retrieval Augmented Generation

9. Operationalizing Generative AI Integration Patterns

10. Embedding Responsible AI into Your GenAI Applications

11. Other Books You May Enjoy

12. Index

Architecture

Building upon the architecture discussed in Chapter 5, Integration Pattern: Batch Metadata Extraction, for the first batch processing example, we will adopt a similar cloud-native, serverless approach on Google Cloud to handle the batch processing of client applications for summarization. This scalable setup leverages various services, allowing us to seamlessly integrate the AI model and store the generated summaries.

The architecture will consist of the following components:

Object store (Google Cloud Storage): This highly scalable and durable object store will be used to store client applications, which can be in various formats, such as PDFs, Word documents, or structured data files.
Messaging queue (Google Cloud Pub/Sub): A messaging queue will be employed to coordinate the data flow and manage the processing of client applications.
Processing component (Google Cloud Functions): Cloud Functions will serve as the processing component, executing...

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Authors (2)

Juan Pablo Bustos

Juan Pablo Bustos

Juan Pablo Bustos is a seasoned technologist with over 20 years of experience in driving innovation and delivering impactful solutions across diverse industries. Juan brings expertise in solution architecture, product incubation, and integration, coupled with expertise in cloud computing, AI, and machine learning.

See other products by Juan Pablo Bustos

Luis Lopez Soria

Luis Lopez Soria

Luis Lopez Soria is an experienced software architect specialized in AI/ML. He has gained practical experience from top firms across heavily regulated industries (healthcare, and finance) as well as big tech. He brings a blended lens from his experience managing global partnerships, AI product development, and customer facing roles.

See other products by Luis Lopez Soria

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