What is Google Vertex AI?
Vertex AI unifies model selection, tuning, evaluation, and deployment, with strong links to BigQuery and Google’s ML tooling. It supports GenAI use cases with embeddings, RAG, and agent frameworks.
How does it work?
Use Model Garden and embeddings, connect to BigQuery, set up retrieval and evaluation, and deploy with monitoring and cost controls.
When does it matter? (Examples)
- Your data lives in BigQuery/Google Cloud.
- You need governed RAG/agents with built‑in evaluation.
- You want managed endpoints with autoscaling.
Benefits
- Tight BigQuery integration
- Built‑in eval and monitoring
- Managed scaling
Risks
- Fast‑moving features to learn
- Quotas and region limits
- Vendor lock‑in concerns
Antire and Google Vertex AI
We build Vertex‑based assistants and agents with evaluation and governance patterns that fit your data and security needs.
Services
Antire and GCP
Related words
Model Garden, Embeddings, RAG, Agents, Evaluation, BigQuery