MatchCollectionChunksRequest

Properties

Name	Type	Description	Notes
vectors	List[List[float]]	A list of vectorized message for running semantic search.
topics	List[str]	A list of document_ids used to filter which documents in the collection to search.
offset	int	How many chunks to skip before returning chunks.	[optional] [default to 0]
limit	int	How many chunks to return.	[optional] [default to 100]
cut_off	float	Exclude matches with distances higher than this cut off.	[optional] [default to 0]

Example

from h2ogpte.rest_async.models.match_collection_chunks_request import MatchCollectionChunksRequest

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

# convert the object into a dict
match_collection_chunks_request_dict = match_collection_chunks_request_instance.to_dict()
# create an instance of MatchCollectionChunksRequest from a dict
match_collection_chunks_request_from_dict = MatchCollectionChunksRequest.from_dict(match_collection_chunks_request_dict)