About This Architecture

Unified API gateway orchestrates multimodal content processing across Cloud Storage, Document AI, Vision AI, and Video AI services. Each specialized AI service feeds extracted features into Gemini 2.0 for advanced reasoning and generation capabilities. Vertex AI handles model serving while AlloyDB and Firestore provide structured and document storage for processed outputs. This architecture enables teams to build production-grade multimodal applications with consistent API access and scalable inference. Fork this diagram on Diagrams.so to customize data flows or add BigQuery for analytics integration.

People also ask

How do I build a multimodal AI architecture on GCP with Gemini 2.0?

Use a Unified API to route content to Document AI, Vision AI, and Video AI for feature extraction. Feed outputs to Gemini 2.0 for multimodal reasoning, serve via Vertex AI, and store results in AlloyDB or Firestore.