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Mosaic AI Vector Search

databricks_vector_search_endpoint Resource

-> This resource can only be used on a Unity Catalog-enabled workspace!

This resource allows you to create Mosaic AI Vector Search Endpoint in Databricks. Mosaic AI Vector Search is a serverless similarity search engine that allows you to store a vector representation of your data, including metadata, in a vector database. The Mosaic AI Vector Search Endpoint is used to create and access vector search indexes.

Example Usage

resource "databricks_vector_search_endpoint" "this" {
  name          = "vector-search-test"
  endpoint_type = "STANDARD"
}

Argument Reference

The following arguments are supported (change of any parameter leads to recreation of the resource):

  • name - (Required) Name of the Mosaic AI Vector Search Endpoint to create.
  • endpoint_type (Required) Type of Mosaic AI Vector Search Endpoint. Currently only accepting single value: STANDARD (See documentation for the list of currently supported values).

Attribute Reference

In addition to all the arguments above, the following attributes are exported:

  • id - The same as the name of the endpoint.
  • creator - Creator of the endpoint.
  • creation_timestamp - Timestamp of endpoint creation (milliseconds).
  • last_updated_user - User who last updated the endpoint.
  • last_updated_timestamp - Timestamp of the last update to the endpoint (milliseconds).
  • endpoint_id - Unique internal identifier of the endpoint (UUID).
  • num_indexes - Number of indexes on the endpoint.
  • endpoint_status - Object describing the current status of the endpoint consisting of the following fields:
    • state - Current state of the endpoint. Currently following values are supported: PROVISIONING, ONLINE, and OFFLINE.
    • message - Additional status message.

Import

The resource can be imported using the name of the Mosaic AI Vector Search Endpoint

terraform import databricks_vector_search_endpoint.this <endpoint-name>