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Vertex AI offers everything you need to build and use generative AI—from AI solutions, to Search and Conversation, to 130+ foundation models, to a unified AI platform.

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Setup

MindsDB provides the Vertex handler that enables you to connect Vertex AI models within MindsDB.

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AI Engine

Before creating a model, it is required to create an AI engine based on the provided handler.
If you installed MindsDB locally, make sure to install all Vertex dependencies by running pip install [vertex] or from the requirements.txt file.
You can create an Vertex engine using this command: 
CREATE ML_ENGINE vertex FROM vertex
USING 
    project_id="mindsdb-401709",
    location="us-central1",
    staging_bucket="gs://my_staging_bucket",
    experiment="my-experiment",
    experiment_description="my experiment description",
    service_account = {
      ...paste service account keys here
    };
Please note that you need to provide your service_account key’s here.
The name of the engine (here, vertex) should be used as a value for the engine parameter in the USING clause of the CREATE MODEL statement.

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AI Model

The CREATE MODEL statement is used to create, train, and deploy models within MindsDB. 
CREATE MODEL mindsdb.vertex_anomaly_detection_model
PREDICT cut
USING 
    engine = 'vertex',
    model_name = 'diamonds_anomaly_detection',
    custom_model = True;
Where:
NameDescription
engineIt defines the Vertex engine.
model_nameIt is used to provide the name of the model.
custom_modelIs it custom model or not

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Usage

Once you have created an Vertex model, you can use it to make predictions. 
SELECT t.cut, m.cut as anomaly
FROM files.vertex_anomaly_detection as t
JOIN mindsdb.vertex_anomaly_detection_model as m;
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