你当前正在访问 Microsoft Azure Global Edition 技术文档网站。 如果需要访问由世纪互联运营的 Microsoft Azure 中国技术文档网站，请访问 https://docs.azure.cn。

VectorSearchCompression Class

Contains configuration options specific to the compression method used during indexing or querying.

You probably want to use the sub-classes and not this class directly. Known sub-classes are: BinaryQuantizationCompression, ScalarQuantizationCompression

Constructor

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

Variables

Name Description
compression_name
str

The name to associate with this particular configuration. Required.
rescoring_options
RescoringOptions

Contains the options for rescoring.
truncation_dimension
int

The number of dimensions to truncate the vectors to. Truncating the vectors reduces the size of the vectors and the amount of data that needs to be transferred during search. This can save storage cost and improve search performance at the expense of recall. It should be only used for embeddings trained with Matryoshka Representation Learning (MRL) such as OpenAI text-embedding-3-large (small). The default value is null, which means no truncation.
kind
str or VectorSearchCompressionKind

Type of VectorSearchCompression. Required. Known values are: "scalarQuantization" and "binaryQuantization".

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

compression_name

The name to associate with this particular configuration. Required.

compression_name: str

kind

"scalarQuantization" and "binaryQuantization".

kind: str

rescoring_options

Contains the options for rescoring.

rescoring_options: _models.RescoringOptions | None

truncation_dimension

The number of dimensions to truncate the vectors to. Truncating the vectors reduces the size of the vectors and the amount of data that needs to be transferred during search. This can save storage cost and improve search performance at the expense of recall. It should be only used for embeddings trained with Matryoshka Representation Learning (MRL) such as OpenAI text-embedding-3-large (small). The default value is null, which means no truncation.

truncation_dimension: int | None