Architecture
To build our intent classification system, we’ll leverage a serverless, event-driven architecture built on Google Cloud (for example: https://cloud.google.com/architecture/serverless-functions-blueprint). This approach aligns with cloud-native principles and allows for seamless integration with other cloud services.
Figure 7.1: Intent classification example architecture diagram
The architecture consists of the following key components:
- Ingestion layer: This layer is responsible for accepting incoming user inputs from various channels, such as web forms, chat interfaces, or API endpoints. We’ll use Google Cloud Functions as the entry point for our system, which can be triggered by events from services like Cloud Storage, Pub/Sub, or Cloud Run.
- AI processing layer: In this layer, we’ll integrate Google’s Gemini Pro through Vertex AI. Vertex AI provides a managed environment for deploying and scaling machine learning...
