Gemini Enterprise Agent Platform
by Google
Google Cloud ML and agent platform (formerly Vertex AI) with APIs for models, endpoints, datasets, training and pipeline jobs.
- Category
- Cloud & Data Platforms
- Type
- MLOps
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- OAuth 2.0, Service account key
02Data
What you can sync.
- Models
- Endpoints
- Pipeline jobs
- Datasets
- Batch predictions
Load Gemini Enterprise Agent Platform models into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other Gemini Enterprise Agent Platform data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- OAuth 2.0 (client ID, client secret, refresh token)
- A service account key
Gemini Enterprise Agent Platform uses OAuth 2.0 (client ID, client secret, refresh token) or a service account key. You add the credentials once, when the AI asks for them, and it tells you where to create them in Google if you need help.
04How it works
How it works in DataMind.
-
Pick Gemini Enterprise Agent Platform.
Open Lake, pick Gemini Enterprise Agent Platform in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Gemini Enterprise Agent Platform API docs.
-
Answer a few questions.
The AI reads the Gemini Enterprise Agent Platform documentation, then asks which credentials you will use, which data to sync (for example models and endpoints), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Gemini Enterprise Agent Platform data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
05Related
