VectorizableImageBinaryQuery Class

The query parameters to use for vector search when a base 64 encoded binary of an image that needs to be vectorized is provided.

Constructor

VectorizableImageBinaryQuery(*args: Any, **kwargs: Any)

Variables

Name	Description
k_nearest_neighbors	int Number of nearest neighbors to return as top hits.
fields	str Vector Fields of type Collection(Edm.Single) to be included in the vector searched.
exhaustive	bool When true, triggers an exhaustive k-nearest neighbor search across all vectors within the vector index. Useful for scenarios where exact matches are critical, such as determining ground truth values.
oversampling	float Oversampling factor. Minimum value is 1. It overrides the 'defaultOversampling' parameter configured in the index definition. It can be set only when 'rerankWithOriginalVectors' is true. This parameter is only permitted when a compression method is used on the underlying vector field.
weight	float Relative weight of the vector query when compared to other vector query and/or the text query within the same search request. This value is used when combining the results of multiple ranking lists produced by the different vector queries and/or the results retrieved through the text query. The higher the weight, the higher the documents that matched that query will be in the final ranking. Default is 1.0 and the value needs to be a positive number larger than zero.
base64_image	str The base 64 encoded binary of an image to be vectorized to perform a vector search query.
kind	str or <xref:azure.search.documents.models.IMAGE_BINARY> The kind of vector query being performed. Required. Vector query where a base 64 encoded binary of an image that needs to be vectorized is provided.

Methods

as_dict	Return a dict that can be turned into json using json.dump.
clear	Remove all items from D.
copy
get	Get the value for key if key is in the dictionary, else default. :param str key: The key to look up. :param any default: The value to return if key is not in the dictionary. Defaults to None :returns: D[k] if k in D, else d. :rtype: any
items
keys
pop	Removes specified key and return the corresponding value. :param str key: The key to pop. :param any default: The value to return if key is not in the dictionary :returns: The value corresponding to the key. :rtype: any :raises KeyError: If key is not found and default is not given.
popitem	Removes and returns some (key, value) pair :returns: The (key, value) pair. :rtype: tuple :raises KeyError: if D is empty.
setdefault	Same as calling D.get(k, d), and setting D[k]=d if k not found :param str key: The key to look up. :param any default: The value to set if key is not in the dictionary :returns: D[k] if k in D, else d. :rtype: any
update	Updates D from mapping/iterable E and F. :param any args: Either a mapping object or an iterable of key-value pairs.
values

as_dict

Return a dict that can be turned into json using json.dump.

as_dict(*, exclude_readonly: bool = False) -> dict[str, Any]

Keyword-Only Parameters

Name	Description
exclude_readonly	bool Whether to remove the readonly properties. Default value: False

Returns

Type	Description
dict	A dict JSON compatible object

clear

Remove all items from D.

clear() -> None

copy

copy() -> Model

get

Get the value for key if key is in the dictionary, else default. :param str key: The key to look up. :param any default: The value to return if key is not in the dictionary. Defaults to None :returns: D[k] if k in D, else d. :rtype: any

get(key: str, default: Any = None) -> Any

Parameters

Name	Description
key Required
default	Default value: None

items

items() -> ItemsView[str, Any]

Returns

Type	Description
ItemsView	set-like object providing a view on D's items

keys

keys() -> KeysView[str]

Returns

Type	Description
KeysView	a set-like object providing a view on D's keys

pop

Removes specified key and return the corresponding value. :param str key: The key to pop. :param any default: The value to return if key is not in the dictionary :returns: The value corresponding to the key. :rtype: any :raises KeyError: If key is not found and default is not given.

pop(key: str, default: ~typing.Any = <object object>) -> Any

Parameters

Name	Description
key Required
default

popitem

Removes and returns some (key, value) pair :returns: The (key, value) pair. :rtype: tuple :raises KeyError: if D is empty.

popitem() -> tuple[str, Any]

setdefault

Same as calling D.get(k, d), and setting D[k]=d if k not found :param str key: The key to look up. :param any default: The value to set if key is not in the dictionary :returns: D[k] if k in D, else d. :rtype: any

setdefault(key: str, default: ~typing.Any = <object object>) -> Any

Parameters

Name	Description
key Required
default

update

Updates D from mapping/iterable E and F. :param any args: Either a mapping object or an iterable of key-value pairs.

update(*args: Any, **kwargs: Any) -> None

values

values() -> ValuesView[Any]

Returns

Type	Description
ValuesView	an object providing a view on D's values

Attributes

base64_image

The base 64 encoded binary of an image to be vectorized to perform a vector search query.

base64_image: str | None

exhaustive

When true, triggers an exhaustive k-nearest neighbor search across all vectors within the vector index. Useful for scenarios where exact matches are critical, such as determining ground truth values.

exhaustive: bool | None

fields

Vector Fields of type Collection(Edm.Single) to be included in the vector searched.

fields: str | None

k_nearest_neighbors

Number of nearest neighbors to return as top hits.

k_nearest_neighbors: int | None

kind

The kind of vector query being performed. Required. Vector query where a base 64 encoded binary of an image that needs to be vectorized is provided.

kind: IMAGE_BINARY: 'imageBinary'>]

oversampling

Oversampling factor. Minimum value is 1. It overrides the 'defaultOversampling' parameter configured in the index definition. It can be set only when 'rerankWithOriginalVectors' is true. This parameter is only permitted when a compression method is used on the underlying vector field.

oversampling: float | None

weight

Relative weight of the vector query when compared to other vector query and/or the text query within the same search request. This value is used when combining the results of multiple ranking lists produced by the different vector queries and/or the results retrieved through the text query. The higher the weight, the higher the documents that matched that query will be in the final ranking. Default is 1.0 and the value needs to be a positive number larger than zero.

weight: float | None