docarray.array.storage.qdrant.backend module

class docarray.array.storage.qdrant.backend.QdrantConfig(n_dim, distance='cosine', collection_name=None, list_like=True, host='localhost', port=6333, grpc_port=6334, prefer_grpc=False, api_key=None, https=None, serialize_config=<factory>, scroll_batch_size=64, ef_construct=None, full_scan_threshold=None, m=None, columns=None, root_id=True)

Bases: object

n_dim: int

distance: str = 'cosine'

collection_name: Optional[str] = None

list_like: bool = True

host: Optional[str] = 'localhost'

port: Optional[int] = 6333

grpc_port: Optional[int] = 6334

prefer_grpc: Optional[bool] = False

api_key: Optional[str] = None

https: Optional[bool] = None

serialize_config: Dict

scroll_batch_size: int = 64

ef_construct: Optional[int] = None

full_scan_threshold: Optional[int] = None

m: Optional[int] = None

columns: Optional[Union[List[Tuple[str, str]], Dict[str, str]]] = None

root_id: bool = True

class docarray.array.storage.qdrant.backend.BackendMixin

Bases: BaseBackendMixin

abstract property client: QdrantClient

Return type:

QdrantClient

abstract property collection_name: str

Return type:

str

abstract property distance: Distance

Return type:

Distance

TYPE_MAP: Dict[str, TypeMap] = {'bool': TypeMap(type='int', converter=<class 'bool'>), 'float': TypeMap(type='float', converter=<class 'float'>), 'geo': TypeMap(type='geo', converter=<class 'dict'>), 'int': TypeMap(type='integer', converter=<class 'int'>), 'str': TypeMap(type='keyword', converter=<class 'str'>), 'text': TypeMap(type='text', converter=<class 'str'>)}