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Google Vertex Vector Search

Interact with Google Vertex AI Vector Search

Actions9

Index Endpoint → Deploy Index

AI-generated

Summary

Deploy an existing vector search index to a specified index endpoint location on Google Vertex AI, making the index available for serving search queries.

Inputs

  • Location (required) — The Google Cloud location where your Vector Search resources (indexes and endpoints) are hosted, e.g., 'us-central1'.
  • Index ID (required) — The identifier of the existing vector search index that you want to deploy.
  • Endpoint ID (required) — The identifier of the index endpoint to which the index will be deployed.
  • Deployed Index ID (required) — A custom identifier to assign to the deployed index within the endpoint.

Output shape

a single JSON object representing the deployed index resource metadata returned from the Google Vertex AI IndexEndpointServiceClient, including deployment details.

The output contains details of the deployed index object as returned by Google Cloud's API. Errors are surfaced per item if execution fails and 'continueOnFail' setting is used.

Examples

Example 1: Deploy an existing index to an endpoint to serve nearest neighbors search queries.

Set 'Location' to the geographic location of your resources, 'Index ID' to the index's identifier, 'Endpoint ID' to the target endpoint's identifier, and 'Deployed Index ID' to a deployment name. Executing this operation deploys the index to the endpoint for query usage.

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