VectorSearchEndpoint

laktory.models.resources.databricks.VectorSearchEndpoint

Bases: VectorSearchEndpointBase

Databricks Vector Search Endpoint

Examples:

import io

from laktory import models

endpoint_yaml = '''
name: default
endpoint_type: STANDARD
'''
endpoint = models.resources.databricks.VectorSearchEndpoint.model_validate_yaml(
    io.StringIO(endpoint_yaml)
)

References

• Databricks Vector Search

BASE	DESCRIPTION
budget_policy_id	The Budget Policy ID set for this resource TYPE: str | None | VariableType DEFAULT: None
endpoint_type	TYPE: str | VariableType
name	Name of the Mosaic AI Vector Search Endpoint to create. (Change leads to recreation of the resource). * 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). (Change leads to recreation of the resource) TYPE: str | VariableType
scaling_info	TYPE: VectorSearchEndpointScalingInfo | None | VariableType DEFAULT: None
timeouts	TYPE: VectorSearchEndpointTimeouts | None | VariableType DEFAULT: None

---

laktory.models.resources.databricks.vectorsearchendpoint.VectorSearchEndpointScalingInfo

Bases: BaseModel

PARAMETER	DESCRIPTION
requested_min_qps	TYPE: int | None | VariableType DEFAULT: None
state	Current state of the endpoint. Currently following values are supported: PROVISIONING, ONLINE, and OFFLINE TYPE: str | None | VariableType DEFAULT: None

---

laktory.models.resources.databricks.vectorsearchendpoint.VectorSearchEndpointTimeouts

Bases: BaseModel

PARAMETER	DESCRIPTION
create	TYPE: str | None | VariableType DEFAULT: None