databricks_vector_search_endpoint Resource

This resource allows you to create Vector Search Endpoint in Databricks. 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 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):

Attribute Reference

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

Import

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

terraform import databricks_vector_search_endpoint.this <endpoint-name>