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.

Method: projects.locations.indexEndpoints.deployIndex

Deploys an Index into this IndexEndpoint, creating a DeployedIndex within it. Only non-empty Indexes can be deployed.

Endpoint

post


                https://{service-endpoint}/v1/{indexEndpoint}:deployIndex

Where {service-endpoint} is one of the supported service endpoints.

Path parameters

indexEndpoint string

Required. The name of the IndexEndpoint resource into which to deploy an Index. Format: projects/{project}/locations/{location}/indexEndpoints/{indexEndpoint}

Request body

The request body contains data with the following structure:

Fields

deployedIndex object (DeployedIndex)

Required. The DeployedIndex to be created within the IndexEndpoint.

Response body

If successful, the response body contains an instance of Operation.