VectorSearchQueryResponseItem.md

VectorSearchQueryResponseItem

An array of objects.

Properties

Name	Type	Description	Notes
fields	Dict[str, List[VectorSearchQueryResponseItemFieldsValueInner]]	Map of extra retrieved fields. The values of the requested fields are always returned in an array.If no value is found an empty array is returned.	[optional]
id	str		[optional]
iri	str	The IRI of the entity that this node belongs to.
metadata	Dict[str, VectorSearchQueryResponseItemMetadataValue]	A nodes extra metadata.	[optional]
node_id	str	A nodes id.	[optional]
score	float	The similarity score between the node and the query embeddings.
text	str	The text of a node from which the embeddings were generated.	[optional]

Example

from wordlift_client.models.vector_search_query_response_item import VectorSearchQueryResponseItem

# TODO update the JSON string below
json = "{}"
# create an instance of VectorSearchQueryResponseItem from a JSON string
vector_search_query_response_item_instance = VectorSearchQueryResponseItem.from_json(json)
# print the JSON string representation of the object
print(VectorSearchQueryResponseItem.to_json())

# convert the object into a dict
vector_search_query_response_item_dict = vector_search_query_response_item_instance.to_dict()
# create an instance of VectorSearchQueryResponseItem from a dict
vector_search_query_response_item_from_dict = VectorSearchQueryResponseItem.from_dict(vector_search_query_response_item_dict)

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