VectorizableTextQuery Class

  • Reference

The query parameters to use for vector search when a text value that needs to be vectorized is provided.

All required parameters must be populated in order to send to server.

Inheritance
azure.search.documents._generated.models._models_py3.VectorQuery
VectorizableTextQuery

Constructor

VectorizableTextQuery(*, text: str, k_nearest_neighbors: int | None = None, fields: str | None = None, exhaustive: bool | None = None, oversampling: float | None = None, weight: float | None = None, **kwargs: Any)

Keyword-Only Parameters

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.
text
str

The text to be vectorized to perform a vector search query. Required.

Variables

Name Description
kind
str or <xref:azure.search.documents.models.VectorQueryKind>

The kind of vector query being performed. Required. Known values are: "vector" and "text".
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.
text
str

The text to be vectorized to perform a vector search query. Required.

Methods

as_dict

Return a dict that can be serialized using json.dump.

Advanced usage might optionally use a callback as parameter:

Key is the attribute name used in Python. Attr_desc is a dict of metadata. Currently contains 'type' with the msrest type and 'key' with the RestAPI encoded key. Value is the current value in this object.

The string returned will be used to serialize the key. If the return type is a list, this is considered hierarchical result dict.

See the three examples in this file:

  • attribute_transformer

  • full_restapi_key_transformer

  • last_restapi_key_transformer

If you want XML serialization, you can pass the kwargs is_xml=True.
deserialize

Parse a str using the RestAPI syntax and return a model.
enable_additional_properties_sending
from_dict

Parse a dict using given key extractor return a model.

By default consider key extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor and last_rest_key_case_insensitive_extractor)
is_xml_model
serialize

Return the JSON that would be sent to server from this model.

This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False).

If you want XML serialization, you can pass the kwargs is_xml=True.

as_dict

Return a dict that can be serialized using json.dump.

Advanced usage might optionally use a callback as parameter:

Key is the attribute name used in Python. Attr_desc is a dict of metadata. Currently contains 'type' with the msrest type and 'key' with the RestAPI encoded key. Value is the current value in this object.

The string returned will be used to serialize the key. If the return type is a list, this is considered hierarchical result dict.

See the three examples in this file:

  • attribute_transformer

  • full_restapi_key_transformer

  • last_restapi_key_transformer

If you want XML serialization, you can pass the kwargs is_xml=True.

as_dict(keep_readonly: bool = True, key_transformer: ~typing.Callable[[str, ~typing.Dict[str, ~typing.Any], ~typing.Any], ~typing.Any] = <function attribute_transformer>, **kwargs: ~typing.Any) -> MutableMapping[str, Any]

Parameters

Name Description
key_transformer
<xref:function>

A key transformer function.
keep_readonly
Default value: True

Returns

Type Description
dict

A dict JSON compatible object

deserialize

Parse a str using the RestAPI syntax and return a model.

deserialize(data: Any, content_type: str | None = None) -> ModelType

Parameters

Name Description
data
Required
str

A str using RestAPI structure. JSON by default.
content_type
str

JSON by default, set application/xml if XML.

Default value: None

Returns

Type Description

An instance of this model

Exceptions

Type Description
DeserializationError if something went wrong

enable_additional_properties_sending 

enable_additional_properties_sending() -> None

from_dict

Parse a dict using given key extractor return a model.

By default consider key extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor and last_rest_key_case_insensitive_extractor)

from_dict(data: Any, key_extractors: Callable[[str, Dict[str, Any], Any], Any] | None = None, content_type: str | None = None) -> ModelType

Parameters

Name Description
data
Required
dict

A dict using RestAPI structure
content_type
str

JSON by default, set application/xml if XML.

Default value: None
key_extractors
Default value: None

Returns

Type Description

An instance of this model

Exceptions

Type Description
DeserializationError if something went wrong

is_xml_model 

is_xml_model() -> bool

serialize

Return the JSON that would be sent to server from this model.

This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False).

If you want XML serialization, you can pass the kwargs is_xml=True.

serialize(keep_readonly: bool = False, **kwargs: Any) -> MutableMapping[str, Any]

Parameters

Name Description
keep_readonly
bool

If you want to serialize the readonly attributes

Default value: False

Returns

Type Description
dict

A dict JSON compatible object