VectorSearchQueryRequest.md

VectorSearchQueryRequest

A query request.

Properties

Name	Type	Description	Notes
fields	List[str]	List of extra fields to be retrieved.	[optional]
filters	List[Filter]	A list of prefilters.	[optional]
query_embedding	List[float]	The list of embeddings, not required if `query_string` is provided.	[optional]
query_string	str	The query string, not required if the `query_embeddings` are provided. Please note that the `query_string` is ignored if the `query_embeddings` are provided.	[optional]
query_uri	str	Perform a Vector Search based on similarities with an entity with the specified URI.	[optional]
query_url	str	Perform a Vector Search based on similarities with an entity with the specified URL (schema:url).	[optional]
similarity_top_k	int	The similarity top K.	[optional] [default to 2]

Example

from wordlift_client.models.vector_search_query_request import VectorSearchQueryRequest

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

# convert the object into a dict
vector_search_query_request_dict = vector_search_query_request_instance.to_dict()
# create an instance of VectorSearchQueryRequest from a dict
vector_search_query_request_from_dict = VectorSearchQueryRequest.from_dict(vector_search_query_request_dict)

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