# 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

```python
from h2ogpte.rest_sync.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)
```