Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.
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Reads feature values of a specific entity of an EntityType. For reading feature values of multiple entities of an EntityType, please use entityTypes.streamingReadFeatureValues.
Endpoint
post
https://{service-endpoint}/v1/{entityType}:readFeatureValues
Required. The resource name of the EntityType for the entity being read. value format: projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}. For example, for a machine learning model predicting user clicks on a website, an EntityType id could be user.
Request body
The request body contains data with the following structure:
Fields
entityId
string
Required. id for a specific entity. For example, for a machine learning model predicting user clicks on a website, an entity id could be user_123.