Vertex AI Index Endpoint

Docs > DDSQL Reference > Data Directory > Vertex AI Index Endpoint

Vertex AI Index Endpoint is a managed service in Google Cloud that hosts vector indexes for similarity search and retrieval. It provides a scalable and low-latency endpoint where machine learning models or applications can query embeddings to find the most relevant matches. This resource is commonly used in recommendation systems, semantic search, and generative AI applications, enabling efficient deployment and serving of vector-based search workloads without managing infrastructure.

gcp.aiplatform_index_endpoint

Fields

ID	Type	Data Type	Description
_key	core	string
ancestors	core	array<string>
create_time	core	timestamp	Output only. Timestamp when this IndexEndpoint was created.
datadog_display_name	core	string
deployed_indexes	core	json	Output only. The indexes deployed in this endpoint.
description	core	string	The description of the IndexEndpoint.
enable_private_service_connect	core	bool	Optional. Deprecated: If true, expose the IndexEndpoint via private service connect. Only one of the fields, network or enable_private_service_connect, can be set.
encryption_spec	core	json	Immutable. Customer-managed encryption key spec for an IndexEndpoint. If set, this IndexEndpoint and all sub-resources of this IndexEndpoint will be secured by this key.
etag	core	string	Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
gcp_display_name	core	string	Required. The display name of the IndexEndpoint. The name can be up to 128 characters long and can consist of any UTF-8 characters.
labels	core	array<string>	The labels with user-defined metadata to organize your IndexEndpoints. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
name	core	string	Output only. The resource name of the IndexEndpoint.
network	core	string	Optional. The full name of the Google Compute Engine [network](https://cloud.google.com/compute/docs/networks-and-firewalls#networks) to which the IndexEndpoint should be peered. Private services access must already be configured for the network. If left unspecified, the Endpoint is not peered with any network. network and private_service_connect_config are mutually exclusive. [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert): `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in '12345', and {network} is network name.
organization_id	core	string
parent	core	string
private_service_connect_config	core	json	Optional. Configuration for private service connect. network and private_service_connect_config are mutually exclusive.
project_id	core	string
project_number	core	string
public_endpoint_domain_name	core	string	Output only. If public_endpoint_enabled is true, this field will be populated with the domain name to use for this index endpoint.
public_endpoint_enabled	core	bool	Optional. If true, the deployed index will be accessible through public endpoint.
resource_name	core	string
satisfies_pzi	core	bool	Output only. Reserved for future use.
satisfies_pzs	core	bool	Output only. Reserved for future use.
tags	core	hstore
update_time	core	timestamp	Output only. Timestamp when this IndexEndpoint was last updated. This timestamp is not updated when the endpoint's DeployedIndexes are updated, e.g. due to updates of the original Indexes they are the deployments of.