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Vector Search

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Create and query Vector Search indexes

List Endpoints GA

GET /api/2.0/vector-search/endpoints

List all AI Search endpoints in the workspace.

API scopes: vector-search

Parameters

page_tokenstringquery

Token for pagination

Response

endpointsarray of object

An array of Endpoint objects

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namestring

Name of the AI Search endpoint

Example: docs-endpoint

creatorstring

Creator of the endpoint

Example: john@example.com

creation_timestampint64

Timestamp of endpoint creation

Example: 1702013512061

last_updated_timestampint64

Timestamp of last update to the endpoint

Example: 1702013512061

endpoint_typestring

Type of endpoint

Values: STORAGE_OPTIMIZED, STANDARD

last_updated_userstring

User who last updated the endpoint

Example: john@example.com

idstring

Unique identifier of the endpoint

Example: c56bf0a9-4929-4bd4-8bd5-d82ca62f9c76

endpoint_statusobject

Current status of the endpoint

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statestring

Current state of the endpoint

Values: PROVISIONING, ONLINE, OFFLINE, RED_STATE, YELLOW_STATE, DELETED

Example: PROVISIONING

messagestring

Additional status message

num_indexesint32

Number of indexes on the endpoint

budget_policy_idstringPublic Preview

The user-selected budget policy id for the endpoint.

effective_budget_policy_idstringPublic Preview

The budget policy id applied to the endpoint

Example: 8b0444ff-8b60-48b0-9d31-e391f6126e0f

scaling_infoobject

Scaling information for the endpoint

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statestringBeta

The current state of the scaling change request.

Values: SCALING_CHANGE_UNSPECIFIED, SCALING_CHANGE_APPLIED, SCALING_CHANGE_IN_PROGRESS

Example: SCALING_CHANGE_APPLIED

requested_target_qpsint64

The requested QPS target for the endpoint. Best-effort; the system does not guarantee this QPS will be achieved.

Example: 500

next_page_tokenstring

A token that can be used to get the next page of results. If not present, there are no more results to show.