CreateVectorCollectionRequest.md

CreateVectorCollectionRequest

Properties

Name	Type	Description	Notes
name	str	Collection name (used for reference)
description	str		[optional]
embedding_model	str	Embedding model to use (default: amazon.titan-embed-text-v2:0)	[optional]
dimensions	int	Embedding dimensions (default: 1024)	[optional]

Example

from quantcdn.models.create_vector_collection_request import CreateVectorCollectionRequest

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

# convert the object into a dict
create_vector_collection_request_dict = create_vector_collection_request_instance.to_dict()
# create an instance of CreateVectorCollectionRequest from a dict
create_vector_collection_request_from_dict = CreateVectorCollectionRequest.from_dict(create_vector_collection_request_dict)

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