Operationalizing Generative AI Integration Patterns
In previous chapters, we explored various integration patterns that leverage the power of Generative AI (GenAI) models like Google Gemini on Vertex AI. We discussed developing production-grade enterprise architectures according to targeted business use cases. In this chapter, we will discuss in depth best practices to be considered while operationalizing your GenAI integrations as production-grade applications. As we transition from conceptual design to real-world application, operational challenges such as scalability, reliability, and maintainability come to the forefront. In a nutshell, we are going to cover the following topics in this chapter:
- Introduction to operationalizing GenAI integration patterns
- A four-layer framework for GenAI operationalization
- Data layer:
- Data quality and pre-processing
- Data security and encryption
- Data governance and versioning
- Regulatory...
