diff --git a/docarray/array/doc_vec/doc_vec.py b/docarray/array/doc_vec/doc_vec.py
index adb701d2a11..aa9ed59c09e 100644
--- a/docarray/array/doc_vec/doc_vec.py
+++ b/docarray/array/doc_vec/doc_vec.py
@@ -138,7 +138,6 @@ def __init__(
                     tensor_columns[field_name] = TensorFlowTensor(stacked)
 
                 elif issubclass(field_type, AbstractTensor):
-
                     tensor = getattr(docs[0], field_name)
                     column_shape = (
                         (len(docs), *tensor.shape)
@@ -378,7 +377,6 @@ def _set_data_column(
             self._storage.tensor_columns[field] = values
 
         elif field in self._storage.doc_columns.keys():
-
             values_ = parse_obj_as(
                 DocVec.__class_getitem__(self._storage.doc_columns[field].doc_type),
                 values,
diff --git a/docarray/base_doc/mixins/io.py b/docarray/base_doc/mixins/io.py
index e50d9ac791d..2afd8c46579 100644
--- a/docarray/base_doc/mixins/io.py
+++ b/docarray/base_doc/mixins/io.py
@@ -219,7 +219,6 @@ def from_protobuf(cls: Type[T], pb_msg: 'DocProto') -> T:
         fields: Dict[str, Any] = {}
 
         for field_name in pb_msg.data:
-
             if field_name not in cls.__fields__.keys():
                 continue  # optimization we don't even load the data if the key does not
                 # match any field in the cls or in the mapping
@@ -265,7 +264,6 @@ def _get_content_from_node_proto(
         elif content_key is None:
             return_field = None
         elif docarray_type is None:
-
             arg_to_container: Dict[str, Callable] = {
                 'list': list,
                 'set': set,
diff --git a/docarray/computation/torch_backend.py b/docarray/computation/torch_backend.py
index f64b993186a..b1419f20200 100644
--- a/docarray/computation/torch_backend.py
+++ b/docarray/computation/torch_backend.py
@@ -103,7 +103,6 @@ def shape(cls, tensor: 'torch.Tensor') -> Tuple[int, ...]:
 
     @classmethod
     def reshape(cls, tensor: 'torch.Tensor', shape: Tuple[int, ...]) -> 'torch.Tensor':
-
         """
         Gives a new shape to tensor without changing its data.
 
diff --git a/docarray/index/__init__.py b/docarray/index/__init__.py
index 2c724030fe7..b92f4d00d56 100644
--- a/docarray/index/__init__.py
+++ b/docarray/index/__init__.py
@@ -10,6 +10,7 @@
     from docarray.index.backends.elastic import ElasticDocIndex  # noqa: F401
     from docarray.index.backends.elasticv7 import ElasticV7DocIndex  # noqa: F401
     from docarray.index.backends.hnswlib import HnswDocumentIndex  # noqa: F401
+    from docarray.index.backends.qdrant import QdrantDocumentIndex  # noqa: F401
 
 __all__ = []
 
@@ -25,7 +26,9 @@ def __getattr__(name: str):
     elif name == 'ElasticV7DocIndex':
         import_library('elasticsearch', raise_error=True)
         import docarray.index.backends.elasticv7 as lib
-
+    elif name == 'QdrantDocumentIndex':
+        import_library('qdrant_client', raise_error=True)
+        import docarray.index.backends.qdrant as lib
     else:
         raise ImportError(
             f'cannot import name \'{name}\' from \'{_get_path_from_docarray_root_level(__file__)}\''
diff --git a/docarray/index/backends/qdrant.py b/docarray/index/backends/qdrant.py
new file mode 100644
index 00000000000..a2fd246f881
--- /dev/null
+++ b/docarray/index/backends/qdrant.py
@@ -0,0 +1,516 @@
+import uuid
+from dataclasses import dataclass, field
+from typing import (
+    TypeVar,
+    Generic,
+    Optional,
+    cast,
+    Sequence,
+    Any,
+    Union,
+    List,
+    Dict,
+    Generator,
+    Type,
+    Tuple,
+)
+
+import numpy as np
+from grpc import RpcError  # type: ignore[import]
+from qdrant_client.http.exceptions import UnexpectedResponse
+
+import docarray.typing.id
+from docarray import BaseDoc, DocList
+from docarray.index.abstract import (
+    BaseDocIndex,
+    _FindResultBatched,
+    _ColumnInfo,
+    _raise_not_composable,
+)
+
+import qdrant_client
+from qdrant_client.conversions import common_types as types
+from qdrant_client.http import models as rest
+
+from docarray.typing import NdArray
+from docarray.typing.tensor.abstract_tensor import AbstractTensor
+from docarray.utils._internal.misc import torch_imported
+from docarray.utils.find import _FindResult
+
+TSchema = TypeVar('TSchema', bound=BaseDoc)
+
+
+QDRANT_PY_VECTOR_TYPES: List[Any] = [np.ndarray, AbstractTensor]
+if torch_imported:
+    import torch
+
+    QDRANT_PY_VECTOR_TYPES.append(torch.Tensor)
+
+QDRANT_SPACE_MAPPING = {
+    'cosine': rest.Distance.COSINE,
+    'l2': rest.Distance.EUCLID,
+    'ip': rest.Distance.DOT,
+}
+
+RawQuery = Dict[str, Any]
+
+
+class QdrantDocumentIndex(BaseDocIndex, Generic[TSchema]):
+    UUID_NAMESPACE = uuid.UUID('3896d314-1e95-4a3a-b45a-945f9f0b541d')
+
+    def __init__(self, db_config=None, **kwargs):
+        super().__init__(db_config=db_config, **kwargs)
+        self._db_config: QdrantDocumentIndex.DBConfig = cast(
+            QdrantDocumentIndex.DBConfig, self._db_config
+        )
+        self._client = qdrant_client.QdrantClient(
+            location=self._db_config.location,
+            url=self._db_config.url,
+            port=self._db_config.port,
+            grpc_port=self._db_config.grpc_port,
+            prefer_grpc=self._db_config.prefer_grpc,
+            https=self._db_config.https,
+            api_key=self._db_config.api_key,
+            prefix=self._db_config.prefix,
+            timeout=self._db_config.timeout,
+            host=self._db_config.host,
+            path=self._db_config.path,
+        )
+        self._initialize_collection()
+        self._logger.info(f'{self.__class__.__name__} has been initialized')
+
+    @dataclass
+    class Query:
+        vector_field: Optional[str]
+        vector_query: Optional[NdArray]
+        filter: Optional[rest.Filter]
+        limit: int
+
+    class QueryBuilder(BaseDocIndex.QueryBuilder):
+        def __init__(
+            self,
+            vector_search_field: Optional[str] = None,
+            vector_filters: Optional[List[NdArray]] = None,
+            payload_filters: Optional[List[rest.Filter]] = None,
+            text_search_filters: Optional[List[Tuple[str, str]]] = None,
+        ):
+            self._vector_search_field: Optional[str] = vector_search_field
+            self._vector_filters: List[NdArray] = vector_filters or []
+            self._payload_filters: List[rest.Filter] = payload_filters or []
+            self._text_search_filters: List[Tuple[str, str]] = text_search_filters or []
+
+        def build(self, limit: int) -> 'QdrantDocumentIndex.Query':
+            vector_query = None
+            if len(self._vector_filters) > 0:
+                # If there are multiple vector queries applied, we can average them and
+                # perform semantic search on a single vector instead
+                vector_query = np.average(self._vector_filters, axis=0)
+            merged_filter = None
+            if len(self._payload_filters) > 0:
+                merged_filter = rest.Filter(must=self._payload_filters)
+            if len(self._text_search_filters) > 0:
+                # Text search is just a special case of payload filtering, so the
+                # payload filter is simply extended
+                merged_filter = merged_filter or rest.Filter(must=[])
+                for search_field, query in self._text_search_filters:
+                    merged_filter.must.append(  # type: ignore[union-attr]
+                        rest.FieldCondition(
+                            key=search_field,
+                            match=rest.MatchText(text=query),
+                        )
+                    )
+            return QdrantDocumentIndex.Query(
+                vector_field=self._vector_search_field,
+                vector_query=vector_query,
+                filter=merged_filter,
+                limit=limit,
+            )
+
+        def find(  # type: ignore[override]
+            self, query: NdArray, search_field: str = ''
+        ) -> 'QdrantDocumentIndex.QueryBuilder':
+            if self._vector_search_field and self._vector_search_field != search_field:
+                raise ValueError(
+                    f'Trying to call .find for search_field = {search_field}, but '
+                    f'previously {self._vector_search_field} was used. Only a single '
+                    f'field might be used in chained calls.'
+                )
+            return QdrantDocumentIndex.QueryBuilder(
+                vector_search_field=search_field,
+                vector_filters=self._vector_filters + [query],
+                payload_filters=self._payload_filters,
+                text_search_filters=self._text_search_filters,
+            )
+
+        def filter(  # type: ignore[override]
+            self, filter_query: rest.Filter
+        ) -> 'QdrantDocumentIndex.QueryBuilder':
+            return QdrantDocumentIndex.QueryBuilder(
+                vector_search_field=self._vector_search_field,
+                vector_filters=self._vector_filters,
+                payload_filters=self._payload_filters + [filter_query],
+                text_search_filters=self._text_search_filters,
+            )
+
+        def text_search(  # type: ignore[override]
+            self, query: str, search_field: str = ''
+        ) -> 'QdrantDocumentIndex.QueryBuilder':
+            return QdrantDocumentIndex.QueryBuilder(
+                vector_search_field=self._vector_search_field,
+                vector_filters=self._vector_filters,
+                payload_filters=self._payload_filters,
+                text_search_filters=self._text_search_filters + [(search_field, query)],
+            )
+
+        find_batched = _raise_not_composable('find_batched')
+        filter_batched = _raise_not_composable('filter_batched')
+        text_search_batched = _raise_not_composable('text_search_batched')
+
+    @dataclass
+    class DBConfig(BaseDocIndex.DBConfig):
+        location: Optional[str] = None
+        url: Optional[str] = None
+        port: Optional[int] = 6333
+        grpc_port: int = 6334
+        prefer_grpc: bool = True
+        https: Optional[bool] = None
+        api_key: Optional[str] = None
+        prefix: Optional[str] = None
+        timeout: Optional[float] = None
+        host: Optional[str] = None
+        path: Optional[str] = None
+        collection_name: str = 'documents'
+        shard_number: Optional[int] = None
+        replication_factor: Optional[int] = None
+        write_consistency_factor: Optional[int] = None
+        on_disk_payload: Optional[bool] = None
+        hnsw_config: Optional[types.HnswConfigDiff] = None
+        optimizers_config: Optional[types.OptimizersConfigDiff] = None
+        wal_config: Optional[types.WalConfigDiff] = None
+        quantization_config: Optional[types.QuantizationConfig] = None
+
+    @dataclass
+    class RuntimeConfig(BaseDocIndex.RuntimeConfig):
+        default_column_config: Dict[Type, Dict[str, Any]] = field(
+            default_factory=lambda: {
+                'id': {},  # type: ignore[dict-item]
+                'vector': {'dim': 128},  # type: ignore[dict-item]
+                'payload': {},  # type: ignore[dict-item]
+            }
+        )
+
+    def python_type_to_db_type(self, python_type: Type) -> Any:
+        if any(issubclass(python_type, vt) for vt in QDRANT_PY_VECTOR_TYPES):
+            return 'vector'
+
+        if issubclass(python_type, docarray.typing.id.ID):
+            return 'id'
+
+        return 'payload'
+
+    def _initialize_collection(self):
+        try:
+            self._client.get_collection(self._db_config.collection_name)
+        except (UnexpectedResponse, RpcError, ValueError):
+            vectors_config = {
+                column_name: self._to_qdrant_vector_params(column_info)
+                for column_name, column_info in self._column_infos.items()
+                if column_info.db_type == 'vector'
+            }
+            self._client.create_collection(
+                collection_name=self._db_config.collection_name,
+                vectors_config=vectors_config,
+                shard_number=self._db_config.shard_number,
+                replication_factor=self._db_config.replication_factor,
+                write_consistency_factor=self._db_config.write_consistency_factor,
+                on_disk_payload=self._db_config.on_disk_payload,
+                hnsw_config=self._db_config.hnsw_config,
+                optimizers_config=self._db_config.optimizers_config,
+                wal_config=self._db_config.wal_config,
+                quantization_config=self._db_config.quantization_config,
+            )
+            self._client.create_payload_index(
+                collection_name=self._db_config.collection_name,
+                field_name='__generated_vectors',
+                field_schema=rest.PayloadSchemaType.KEYWORD,
+            )
+
+    def _index(self, column_to_data: Dict[str, Generator[Any, None, None]]):
+        rows = self._transpose_col_value_dict(column_to_data)
+        # TODO: add batching the documents to avoid timeouts
+        points = [self._build_point_from_row(row) for row in rows]
+        self._client.upsert(
+            collection_name=self._db_config.collection_name,
+            points=points,
+        )
+
+    def num_docs(self) -> int:
+        return self._client.count(collection_name=self._db_config.collection_name).count
+
+    def _del_items(self, doc_ids: Sequence[str]):
+        items = self._get_items(doc_ids)
+        if len(items) < len(doc_ids):
+            found_keys = set(item['id'] for item in items)  # type: ignore[index]
+            missing_keys = set(doc_ids) - found_keys
+            raise KeyError('Document keys could not found: %s' % ','.join(missing_keys))
+
+        self._client.delete(
+            collection_name=self._db_config.collection_name,
+            points_selector=rest.PointIdsList(
+                points=[self._to_qdrant_id(doc_id) for doc_id in doc_ids],
+            ),
+        )
+
+    def _get_items(
+        self, doc_ids: Sequence[str]
+    ) -> Union[Sequence[TSchema], Sequence[Dict[str, Any]]]:
+        response, _ = self._client.scroll(
+            collection_name=self._db_config.collection_name,
+            scroll_filter=rest.Filter(
+                must=[
+                    rest.HasIdCondition(
+                        has_id=[self._to_qdrant_id(doc_id) for doc_id in doc_ids],
+                    ),
+                ],
+            ),
+            limit=len(doc_ids),
+            with_payload=True,
+            with_vectors=True,
+        )
+        return [self._convert_to_doc(point) for point in response]
+
+    def execute_query(self, query: Union[Query, RawQuery], *args, **kwargs) -> DocList:
+        if not isinstance(query, QdrantDocumentIndex.Query):
+            points = self._execute_raw_query(query.copy())
+        elif query.vector_field:
+            # We perform semantic search with some vectors with Qdrant's search method
+            # should be called
+            points = self._client.search(  # type: ignore[assignment]
+                collection_name=self._db_config.collection_name,
+                query_vector=(query.vector_field, query.vector_query),  # type: ignore[arg-type]
+                query_filter=rest.Filter(
+                    must=[query.filter],
+                    # The following filter takes care of using only those points which
+                    # do not have the vector generated. Those are excluded from the
+                    # search results.
+                    must_not=[
+                        rest.FieldCondition(
+                            key='__generated_vectors',
+                            match=rest.MatchValue(value=query.vector_field),
+                        )
+                    ],
+                ),
+                limit=query.limit,
+                with_payload=True,
+                with_vectors=True,
+            )
+        else:
+            # Just filtering, so Qdrant's scroll has to be used instead
+            points, _ = self._client.scroll(  # type: ignore[assignment]
+                collection_name=self._db_config.collection_name,
+                scroll_filter=query.filter,
+                limit=query.limit,
+                with_payload=True,
+                with_vectors=True,
+            )
+
+        docs = [self._convert_to_doc(point) for point in points]
+        return self._dict_list_to_docarray(docs)
+
+    def _execute_raw_query(
+        self, query: RawQuery
+    ) -> Sequence[Union[rest.ScoredPoint, rest.Record]]:
+        payload_filter = query.pop('filter', None)
+        if payload_filter:
+            payload_filter = rest.Filter.parse_obj(payload_filter)  # type: ignore[assignment]
+
+        if 'vector' in query:
+            # We perform semantic search with some vectors with Qdrant's search method
+            # should be called
+            search_params = query.pop('params', None)
+            if search_params:
+                search_params = rest.SearchParams.parse_obj(search_params)  # type: ignore[assignment]
+            points = self._client.search(  # type: ignore[assignment]
+                collection_name=self._db_config.collection_name,
+                query_vector=query.pop('vector'),
+                query_filter=payload_filter,
+                search_params=search_params,
+                **query,
+            )
+        else:
+            # Just filtering, so Qdrant's scroll has to be used instead
+            points, _ = self._client.scroll(  # type: ignore[assignment]
+                collection_name=self._db_config.collection_name,
+                scroll_filter=payload_filter,
+                **query,
+            )
+
+        return points
+
+    def _find(
+        self, query: np.ndarray, limit: int, search_field: str = ''
+    ) -> _FindResult:
+        query_batched = np.expand_dims(query, axis=0)
+        docs, scores = self._find_batched(
+            queries=query_batched, limit=limit, search_field=search_field
+        )
+        return _FindResult(documents=docs[0], scores=scores[0])  # type: ignore[arg-type]
+
+    def _find_batched(
+        self, queries: np.ndarray, limit: int, search_field: str = ''
+    ) -> _FindResultBatched:
+        responses = self._client.search_batch(
+            collection_name=self._db_config.collection_name,
+            requests=[
+                rest.SearchRequest(
+                    vector=rest.NamedVector(
+                        name=search_field,
+                        vector=query.tolist(),  # type: ignore
+                    ),
+                    # The following filter takes care of using only those points which
+                    # do not have the vector generated. Those are excluded from the
+                    # search results.
+                    filter=rest.Filter(
+                        must_not=[
+                            rest.FieldCondition(
+                                key='__generated_vectors',
+                                match=rest.MatchValue(value=search_field),
+                            )
+                        ]
+                    ),
+                    limit=limit,
+                    with_vector=True,
+                    with_payload=True,
+                )
+                for query in queries
+            ],
+        )
+        return _FindResultBatched(
+            documents=[
+                [self._convert_to_doc(point) for point in response]
+                for response in responses
+            ],
+            scores=[
+                np.array([point.score for point in response]) for response in responses
+            ],
+        )
+
+    def _filter(
+        self, filter_query: rest.Filter, limit: int
+    ) -> Union[DocList, List[Dict]]:
+        query_batched = [filter_query]
+        docs = self._filter_batched(filter_queries=query_batched, limit=limit)
+        return docs[0]
+
+    def _filter_batched(
+        self, filter_queries: Sequence[rest.Filter], limit: int
+    ) -> Union[List[DocList], List[List[Dict]]]:
+        responses = []
+        for filter_query in filter_queries:
+            # There is no batch scroll available in Qdrant client yet, so we need to
+            # perform the queries one by one. It will be changed in the future versions.
+            response, _ = self._client.scroll(
+                collection_name=self._db_config.collection_name,
+                scroll_filter=filter_query,
+                limit=limit,
+                with_payload=True,
+                with_vectors=True,
+            )
+            responses.append(response)
+
+        return [
+            [self._convert_to_doc(point) for point in response]
+            for response in responses
+        ]
+
+    def _text_search(
+        self, query: str, limit: int, search_field: str = ''
+    ) -> _FindResult:
+        query_batched = [query]
+        docs, scores = self._text_search_batched(
+            queries=query_batched, limit=limit, search_field=search_field
+        )
+        return _FindResult(documents=docs[0], scores=scores[0])  # type: ignore[arg-type]
+
+    def _text_search_batched(
+        self, queries: Sequence[str], limit: int, search_field: str = ''
+    ) -> _FindResultBatched:
+        filter_queries = [
+            rest.Filter(
+                must=[
+                    rest.FieldCondition(
+                        key=search_field,
+                        match=rest.MatchText(text=query),
+                    )
+                ]
+            )
+            for query in queries
+        ]
+        documents_batched = self._filter_batched(
+            filter_queries=filter_queries, limit=limit
+        )
+
+        # Qdrant does not return any scores if we just filter the objects, without using
+        # semantic search over vectors. Thus, each document is scored with a value of 1
+        return _FindResultBatched(
+            documents=documents_batched,
+            scores=[np.ones(len(docs)) for docs in documents_batched],
+        )
+
+    def _build_point_from_row(self, row: Dict[str, Any]) -> rest.PointStruct:
+        point_id = self._to_qdrant_id(row.get('id'))
+        vectors: Dict[str, List[float]] = {}
+        payload: Dict[str, Any] = {'__generated_vectors': []}
+        for column_name, column_info in self._column_infos.items():
+            if column_info.db_type in ['id', 'payload']:
+                payload[column_name] = row.get(column_name)
+                continue
+
+            vector = row.get(column_name)
+            if column_info.db_type == 'vector' and vector is not None:
+                vectors[column_name] = vector.tolist()
+            elif column_info.db_type == 'vector' and vector is None:
+                # In that case vector was not provided. Qdrant does not support optional
+                # vectors - each point needs to have all the vectors already assigned.
+                # Thus, we put a fake embedding with the correct dimensionality and mark
+                # such point a point with a boolean flag in the payload.
+                vector_size = column_info.n_dim or column_info.config.get('dim')
+                vectors[column_name] = np.ones(vector_size).tolist()  # type: ignore[arg-type]
+                payload['__generated_vectors'].append(column_name)
+            else:
+                raise ValueError(
+                    f'Could not handle the conversion for column {column_name}. '
+                    f'Column info: {column_info}'
+                )
+        return rest.PointStruct(
+            id=point_id,
+            vector=vectors,
+            payload=payload,
+        )
+
+    def _to_qdrant_id(self, external_id: Optional[str]) -> str:
+        if external_id is None:
+            return uuid.uuid4().hex
+        return uuid.uuid5(QdrantDocumentIndex.UUID_NAMESPACE, external_id).hex
+
+    def _to_qdrant_vector_params(self, column_info: _ColumnInfo) -> rest.VectorParams:
+        return rest.VectorParams(
+            size=column_info.n_dim or column_info.config.get('dim'),
+            distance=QDRANT_SPACE_MAPPING[column_info.config.get('space', 'cosine')],
+        )
+
+    def _convert_to_doc(
+        self, point: Union[rest.ScoredPoint, rest.Record]
+    ) -> Dict[str, Any]:
+        document = cast(Dict[str, Any], point.payload)
+        generated_vectors = document.pop('__generated_vectors')
+        vectors = point.vector if point.vector else dict()
+        if not isinstance(vectors, dict):
+            vectors = {'__default__': vectors}
+        for vector_name, vector in vectors.items():
+            if vector_name in generated_vectors:
+                # That means the vector was generated during the upload, and should not
+                # be returned along the other vectors.
+                pass
+            document[vector_name] = vector
+        return document
diff --git a/docarray/store/helpers.py b/docarray/store/helpers.py
index 457d160d41c..35c6fd2c6ae 100644
--- a/docarray/store/helpers.py
+++ b/docarray/store/helpers.py
@@ -137,7 +137,6 @@ def _to_binary_stream(
     compress: Optional[str] = None,
     show_progress: bool = False,
 ) -> Iterator[bytes]:
-
     if show_progress:
         pbar, t = _get_progressbar(
             'Serializing', disable=not show_progress, total=total
@@ -175,7 +174,6 @@ def _from_binary_stream(
     compress: Optional[str] = None,
     show_progress: bool = False,
 ) -> Iterator['T']:
-
     if show_progress:
         pbar, t = _get_progressbar(
             'Deserializing', disable=not show_progress, total=total
diff --git a/docarray/typing/bytes/audio_bytes.py b/docarray/typing/bytes/audio_bytes.py
index c0ed96a0803..23c6f49a4d0 100644
--- a/docarray/typing/bytes/audio_bytes.py
+++ b/docarray/typing/bytes/audio_bytes.py
@@ -31,7 +31,6 @@ def validate(
         field: 'ModelField',
         config: 'BaseConfig',
     ) -> T:
-
         value = bytes_validator(value)
         return cls(value)
 
diff --git a/docarray/typing/bytes/image_bytes.py b/docarray/typing/bytes/image_bytes.py
index 67a933b2396..a456a493ccb 100644
--- a/docarray/typing/bytes/image_bytes.py
+++ b/docarray/typing/bytes/image_bytes.py
@@ -32,7 +32,6 @@ def validate(
         field: 'ModelField',
         config: 'BaseConfig',
     ) -> T:
-
         value = bytes_validator(value)
         return cls(value)
 
diff --git a/docarray/typing/id.py b/docarray/typing/id.py
index 02ee39245b6..dd4b0db08e0 100644
--- a/docarray/typing/id.py
+++ b/docarray/typing/id.py
@@ -31,7 +31,6 @@ def validate(
         field: 'ModelField',
         config: 'BaseConfig',
     ) -> T:
-
         try:
             id: str = str(value)
             return cls(id)
diff --git a/docarray/utils/_internal/query_language/query_parser.py b/docarray/utils/_internal/query_language/query_parser.py
index b8381584a94..b635d296d8e 100644
--- a/docarray/utils/_internal/query_language/query_parser.py
+++ b/docarray/utils/_internal/query_language/query_parser.py
@@ -42,7 +42,6 @@ def _parse_lookups(
 ) -> Optional[LookupTreeElem]:
     if isinstance(data, dict):
         for key, value in data.items():
-
             node: Optional[LookupTreeElem] = None
             if isinstance(root_node, LookupLeaf):
                 root = LookupNode()
diff --git a/poetry.lock b/poetry.lock
index 398a9ec992d..4204e097d8a 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,16 @@
-# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry and should not be changed by hand.
+
+[[package]]
+name = "aiofiles"
+version = "22.1.0"
+description = "File support for asyncio."
+category = "dev"
+optional = false
+python-versions = ">=3.7,<4.0"
+files = [
+    {file = "aiofiles-22.1.0-py3-none-any.whl", hash = "sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad"},
+    {file = "aiofiles-22.1.0.tar.gz", hash = "sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6"},
+]
 
 [[package]]
 name = "aiohttp"
@@ -126,6 +138,21 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "aiosqlite"
+version = "0.18.0"
+description = "asyncio bridge to the standard sqlite3 module"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "aiosqlite-0.18.0-py3-none-any.whl", hash = "sha256:c3511b841e3a2c5614900ba1d179f366826857586f78abd75e7cbeb88e75a557"},
+    {file = "aiosqlite-0.18.0.tar.gz", hash = "sha256:faa843ef5fb08bafe9a9b3859012d3d9d6f77ce3637899de20606b7fc39aa213"},
+]
+
+[package.dependencies]
+typing_extensions = {version = ">=4.0", markers = "python_version < \"3.8\""}
+
 [[package]]
 name = "anyio"
 version = "3.6.2"
@@ -219,6 +246,22 @@ cffi = ">=1.0.1"
 dev = ["cogapp", "pre-commit", "pytest", "wheel"]
 tests = ["pytest"]
 
+[[package]]
+name = "arrow"
+version = "1.2.3"
+description = "Better dates & times for Python"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "arrow-1.2.3-py3-none-any.whl", hash = "sha256:5a49ab92e3b7b71d96cd6bfcc4df14efefc9dfa96ea19045815914a6ab6b1fe2"},
+    {file = "arrow-1.2.3.tar.gz", hash = "sha256:3934b30ca1b9f292376d9db15b19446088d12ec58629bc3f0da28fd55fb633a1"},
+]
+
+[package.dependencies]
+python-dateutil = ">=2.7.0"
+typing-extensions = {version = "*", markers = "python_version < \"3.8\""}
+
 [[package]]
 name = "async-timeout"
 version = "4.0.2"
@@ -248,21 +291,22 @@ files = [
 
 [[package]]
 name = "attrs"
-version = "22.1.0"
+version = "22.2.0"
 description = "Classes Without Boilerplate"
 category = "main"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6"
 files = [
-    {file = "attrs-22.1.0-py2.py3-none-any.whl", hash = "sha256:86efa402f67bf2df34f51a335487cf46b1ec130d02b8d39fd248abfd30da551c"},
-    {file = "attrs-22.1.0.tar.gz", hash = "sha256:29adc2665447e5191d0e7c568fde78b21f9672d344281d0c6e1ab085429b22b6"},
+    {file = "attrs-22.2.0-py3-none-any.whl", hash = "sha256:29e95c7f6778868dbd49170f98f8818f78f3dc5e0e37c0b1f474e3561b240836"},
+    {file = "attrs-22.2.0.tar.gz", hash = "sha256:c9227bfc2f01993c03f68db37d1d15c9690188323c067c641f1a35ca58185f99"},
 ]
 
 [package.extras]
-dev = ["cloudpickle", "coverage[toml] (>=5.0.2)", "furo", "hypothesis", "mypy (>=0.900,!=0.940)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "sphinx", "sphinx-notfound-page", "zope.interface"]
-docs = ["furo", "sphinx", "sphinx-notfound-page", "zope.interface"]
-tests = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "zope.interface"]
-tests-no-zope = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins"]
+cov = ["attrs[tests]", "coverage-enable-subprocess", "coverage[toml] (>=5.3)"]
+dev = ["attrs[docs,tests]"]
+docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope.interface"]
+tests = ["attrs[tests-no-zope]", "zope.interface"]
+tests-no-zope = ["cloudpickle", "cloudpickle", "hypothesis", "hypothesis", "mypy (>=0.971,<0.990)", "mypy (>=0.971,<0.990)", "pympler", "pympler", "pytest (>=4.3.0)", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-mypy-plugins", "pytest-xdist[psutil]", "pytest-xdist[psutil]"]
 
 [[package]]
 name = "authlib"
@@ -335,18 +379,18 @@ files = [
 
 [[package]]
 name = "babel"
-version = "2.11.0"
+version = "2.12.1"
 description = "Internationalization utilities"
 category = "dev"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
-    {file = "Babel-2.11.0-py3-none-any.whl", hash = "sha256:1ad3eca1c885218f6dce2ab67291178944f810a10a9b5f3cb8382a5a232b64fe"},
-    {file = "Babel-2.11.0.tar.gz", hash = "sha256:5ef4b3226b0180dedded4229651c8b0e1a3a6a2837d45a073272f313e4cf97f6"},
+    {file = "Babel-2.12.1-py3-none-any.whl", hash = "sha256:b4246fb7677d3b98f501a39d43396d3cafdc8eadb045f4a31be01863f655c610"},
+    {file = "Babel-2.12.1.tar.gz", hash = "sha256:cc2d99999cd01d44420ae725a21c9e3711b3aadc7976d6147f622d8581963455"},
 ]
 
 [package.dependencies]
-pytz = ">=2015.7"
+pytz = {version = ">=2015.7", markers = "python_version < \"3.9\""}
 
 [[package]]
 name = "backcall"
@@ -362,14 +406,14 @@ files = [
 
 [[package]]
 name = "beautifulsoup4"
-version = "4.11.1"
+version = "4.12.2"
 description = "Screen-scraping library"
 category = "dev"
 optional = false
 python-versions = ">=3.6.0"
 files = [
-    {file = "beautifulsoup4-4.11.1-py3-none-any.whl", hash = "sha256:58d5c3d29f5a36ffeb94f02f0d786cd53014cf9b3b3951d42e0080d8a9498d30"},
-    {file = "beautifulsoup4-4.11.1.tar.gz", hash = "sha256:ad9aa55b65ef2808eb405f46cf74df7fcb7044d5cbc26487f96eb2ef2e436693"},
+    {file = "beautifulsoup4-4.12.2-py3-none-any.whl", hash = "sha256:bd2520ca0d9d7d12694a53d44ac482d181b4ec1888909b035a3dbf40d0f57d4a"},
+    {file = "beautifulsoup4-4.12.2.tar.gz", hash = "sha256:492bbc69dca35d12daac71c4db1bfff0c876c00ef4a2ffacce226d4638eb72da"},
 ]
 
 [package.dependencies]
@@ -381,41 +425,46 @@ lxml = ["lxml"]
 
 [[package]]
 name = "black"
-version = "22.10.0"
+version = "23.3.0"
 description = "The uncompromising code formatter."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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-    {file = "black-22.10.0-1fixedarch-cp311-cp311-macosx_11_0_x86_64.whl", hash = "sha256:5d8f74030e67087b219b032aa33a919fae8806d49c867846bfacde57f43972ef"},
-    {file = "black-22.10.0-1fixedarch-cp37-cp37m-macosx_10_16_x86_64.whl", hash = "sha256:197df8509263b0b8614e1df1756b1dd41be6738eed2ba9e9769f3880c2b9d7b6"},
-    {file = "black-22.10.0-1fixedarch-cp38-cp38-macosx_10_16_x86_64.whl", hash = "sha256:2644b5d63633702bc2c5f3754b1b475378fbbfb481f62319388235d0cd104c2d"},
-    {file = "black-22.10.0-1fixedarch-cp39-cp39-macosx_11_0_x86_64.whl", hash = "sha256:e41a86c6c650bcecc6633ee3180d80a025db041a8e2398dcc059b3afa8382cd4"},
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+    {file = "black-23.3.0-py3-none-any.whl", hash = "sha256:ec751418022185b0c1bb7d7736e6933d40bbb14c14a0abcf9123d1b159f98dd4"},
+    {file = "black-23.3.0.tar.gz", hash = "sha256:1c7b8d606e728a41ea1ccbd7264677e494e87cf630e399262ced92d4a8dac940"},
 ]
 
 [package.dependencies]
 click = ">=8.0.0"
 mypy-extensions = ">=0.4.3"
+packaging = ">=22.0"
 pathspec = ">=0.9.0"
 platformdirs = ">=2"
-tomli = {version = ">=1.1.0", markers = "python_full_version < \"3.11.0a7\""}
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
 typed-ast = {version = ">=1.4.2", markers = "python_version < \"3.8\" and implementation_name == \"cpython\""}
 typing-extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""}
 
@@ -442,14 +491,14 @@ black = ">=22.1.0"
 
 [[package]]
 name = "bleach"
-version = "5.0.1"
+version = "6.0.0"
 description = "An easy safelist-based HTML-sanitizing tool."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "bleach-5.0.1-py3-none-any.whl", hash = "sha256:085f7f33c15bd408dd9b17a4ad77c577db66d76203e5984b1bd59baeee948b2a"},
-    {file = "bleach-5.0.1.tar.gz", hash = "sha256:0d03255c47eb9bd2f26aa9bb7f2107732e7e8fe195ca2f64709fcf3b0a4a085c"},
+    {file = "bleach-6.0.0-py3-none-any.whl", hash = "sha256:33c16e3353dbd13028ab4799a0f89a83f113405c766e9c122df8a06f5b85b3f4"},
+    {file = "bleach-6.0.0.tar.gz", hash = "sha256:1a1a85c1595e07d8db14c5f09f09e6433502c51c595970edc090551f0db99414"},
 ]
 
 [package.dependencies]
@@ -458,22 +507,21 @@ webencodings = "*"
 
 [package.extras]
 css = ["tinycss2 (>=1.1.0,<1.2)"]
-dev = ["Sphinx (==4.3.2)", "black (==22.3.0)", "build (==0.8.0)", "flake8 (==4.0.1)", "hashin (==0.17.0)", "mypy (==0.961)", "pip-tools (==6.6.2)", "pytest (==7.1.2)", "tox (==3.25.0)", "twine (==4.0.1)", "wheel (==0.37.1)"]
 
 [[package]]
 name = "boto3"
-version = "1.26.95"
+version = "1.26.113"
 description = "The AWS SDK for Python"
 category = "main"
 optional = true
 python-versions = ">= 3.7"
 files = [
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-    {file = "boto3-1.26.95.tar.gz", hash = "sha256:945d32fa9bbbb5fc775378bc2c19278797b54ad57e24bd4dbd46ab27f0938152"},
+    {file = "boto3-1.26.113-py3-none-any.whl", hash = "sha256:631db554cf9d98a2d29c0533a7020cf967b6800437be36e4335e654a480dfcdf"},
+    {file = "boto3-1.26.113.tar.gz", hash = "sha256:0de50b90e14e1dc3037d302f45edbf7b342ba2540f464e9ce60bad12651f02e1"},
 ]
 
 [package.dependencies]
-botocore = ">=1.29.95,<1.30.0"
+botocore = ">=1.29.113,<1.30.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.6.0,<0.7.0"
 
@@ -482,14 +530,14 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.29.95"
+version = "1.29.113"
 description = "Low-level, data-driven core of boto 3."
 category = "main"
 optional = true
 python-versions = ">= 3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -526,14 +574,14 @@ files = [
 
 [[package]]
 name = "certifi"
-version = "2022.9.24"
+version = "2022.12.7"
 description = "Python package for providing Mozilla's CA Bundle."
 category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
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+    {file = "certifi-2022.12.7.tar.gz", hash = "sha256:35824b4c3a97115964b408844d64aa14db1cc518f6562e8d7261699d1350a9e3"},
 ]
 
 [[package]]
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-version = "2.0.12"
+version = "3.1.0"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 category = "main"
 optional = false
-python-versions = ">=3.5.0"
+python-versions = ">=3.7.0"
 files = [
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 ]
 
-[package.extras]
-unicode-backport = ["unicodedata2"]
-
 [[package]]
 name = "click"
 version = "8.1.3"
@@ -698,21 +816,6 @@ colorama = {version = "*", markers = "sys_platform == \"win32\""}
 [package.extras]
 development = ["black", "flake8", "mypy", "pytest", "types-colorama"]
 
-[[package]]
-name = "commonmark"
-version = "0.9.1"
-description = "Python parser for the CommonMark Markdown spec"
-category = "main"
-optional = false
-python-versions = "*"
-files = [
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-]
-
-[package.extras]
-test = ["flake8 (==3.7.8)", "hypothesis (==3.55.3)"]
-
 [[package]]
 name = "cryptography"
 version = "40.0.1"
@@ -757,30 +860,30 @@ tox = ["tox"]
 
 [[package]]
 name = "debugpy"
-version = "1.6.3"
+version = "1.6.7"
 description = "An implementation of the Debug Adapter Protocol for Python"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "debugpy-1.6.7-py2.py3-none-any.whl", hash = "sha256:53f7a456bc50706a0eaabecf2d3ce44c4d5010e46dfc65b6b81a518b42866267"},
+    {file = "debugpy-1.6.7.zip", hash = "sha256:c4c2f0810fa25323abfdfa36cbbbb24e5c3b1a42cb762782de64439c575d67f2"},
 ]
 
 [[package]]
@@ -881,24 +984,21 @@ develop = ["aiohttp", "mock", "pytest", "pytest-asyncio", "pytest-cov", "pytest-
 
 [[package]]
 name = "elasticsearch"
-version = "7.10.1"
+version = "8.7.0"
 description = "Python client for Elasticsearch"
 category = "main"
 optional = true
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, <4"
+python-versions = ">=3.6, <4"
 files = [
-    {file = "elasticsearch-7.10.1-py2.py3-none-any.whl", hash = "sha256:4ebd34fd223b31c99d9f3b6b6236d3ac18b3046191a37231e8235b06ae7db955"},
-    {file = "elasticsearch-7.10.1.tar.gz", hash = "sha256:a725dd923d349ca0652cf95d6ce23d952e2153740cf4ab6daf4a2d804feeed48"},
+    {file = "elasticsearch-8.7.0-py3-none-any.whl", hash = "sha256:a06482f4c338ab6ace5cf89ee351cf3ee1854083f29a3b875433e608424fb48c"},
+    {file = "elasticsearch-8.7.0.tar.gz", hash = "sha256:1849356db4192fbb75b2b8f3d55edb0fb07f8d855f386b318a7889222b49591f"},
 ]
 
 [package.dependencies]
-certifi = "*"
-urllib3 = ">=1.21.1,<2"
+elastic-transport = ">=8,<9"
 
 [package.extras]
 async = ["aiohttp (>=3,<4)"]
-develop = ["black", "coverage", "jinja2", "mock", "pytest", "pytest-cov", "pyyaml", "requests (>=2.0.0,<3.0.0)", "sphinx (<1.7)", "sphinx-rtd-theme"]
-docs = ["sphinx (<1.7)", "sphinx-rtd-theme"]
 requests = ["requests (>=2.4.0,<3.0.0)"]
 
 [[package]]
@@ -915,14 +1015,14 @@ files = [
 
 [[package]]
 name = "exceptiongroup"
-version = "1.1.0"
+version = "1.1.1"
 description = "Backport of PEP 654 (exception groups)"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "exceptiongroup-1.1.0-py3-none-any.whl", hash = "sha256:327cbda3da756e2de031a3107b81ab7b3770a602c4d16ca618298c526f4bec1e"},
-    {file = "exceptiongroup-1.1.0.tar.gz", hash = "sha256:bcb67d800a4497e1b404c2dd44fca47d3b7a5e5433dbab67f96c1a685cdfdf23"},
+    {file = "exceptiongroup-1.1.1-py3-none-any.whl", hash = "sha256:232c37c63e4f682982c8b6459f33a8981039e5fb8756b2074364e5055c498c9e"},
+    {file = "exceptiongroup-1.1.1.tar.gz", hash = "sha256:d484c3090ba2889ae2928419117447a14daf3c1231d5e30d0aae34f354f01785"},
 ]
 
 [package.extras]
@@ -930,36 +1030,36 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "fastapi"
-version = "0.87.0"
+version = "0.95.1"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 category = "main"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "fastapi-0.87.0-py3-none-any.whl", hash = "sha256:254453a2e22f64e2a1b4e1d8baf67d239e55b6c8165c079d25746a5220c81bb4"},
-    {file = "fastapi-0.87.0.tar.gz", hash = "sha256:07032e53df9a57165047b4f38731c38bdcc3be5493220471015e2b4b51b486a4"},
+    {file = "fastapi-0.95.1-py3-none-any.whl", hash = "sha256:a870d443e5405982e1667dfe372663abf10754f246866056336d7f01c21dab07"},
+    {file = "fastapi-0.95.1.tar.gz", hash = "sha256:9569f0a381f8a457ec479d90fa01005cfddaae07546eb1f3fa035bc4797ae7d5"},
 ]
 
 [package.dependencies]
 pydantic = ">=1.6.2,<1.7 || >1.7,<1.7.1 || >1.7.1,<1.7.2 || >1.7.2,<1.7.3 || >1.7.3,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0"
-starlette = "0.21.0"
+starlette = ">=0.26.1,<0.27.0"
 
 [package.extras]
 all = ["email-validator (>=1.1.1)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "python-multipart (>=0.0.5)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
-dev = ["pre-commit (>=2.17.0,<3.0.0)", "ruff (==0.0.114)", "uvicorn[standard] (>=0.12.0,<0.19.0)"]
-doc = ["mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-markdownextradata-plugin (>=0.1.7,<0.3.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pyyaml (>=5.3.1,<7.0.0)", "typer[all] (>=0.6.1,<0.7.0)"]
-test = ["anyio[trio] (>=3.2.1,<4.0.0)", "black (==22.8.0)", "coverage[toml] (>=6.5.0,<7.0)", "databases[sqlite] (>=0.3.2,<0.7.0)", "email-validator (>=1.1.1,<2.0.0)", "flask (>=1.1.2,<3.0.0)", "httpx (>=0.23.0,<0.24.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.982)", "orjson (>=3.2.1,<4.0.0)", "passlib[bcrypt] (>=1.7.2,<2.0.0)", "peewee (>=3.13.3,<4.0.0)", "pytest (>=7.1.3,<8.0.0)", "python-jose[cryptography] (>=3.3.0,<4.0.0)", "python-multipart (>=0.0.5,<0.0.6)", "pyyaml (>=5.3.1,<7.0.0)", "ruff (==0.0.114)", "sqlalchemy (>=1.3.18,<=1.4.41)", "types-orjson (==3.6.2)", "types-ujson (==5.5.0)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0,<6.0.0)"]
+dev = ["pre-commit (>=2.17.0,<3.0.0)", "ruff (==0.0.138)", "uvicorn[standard] (>=0.12.0,<0.21.0)"]
+doc = ["mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-markdownextradata-plugin (>=0.1.7,<0.3.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pyyaml (>=5.3.1,<7.0.0)", "typer-cli (>=0.0.13,<0.0.14)", "typer[all] (>=0.6.1,<0.8.0)"]
+test = ["anyio[trio] (>=3.2.1,<4.0.0)", "black (==23.1.0)", "coverage[toml] (>=6.5.0,<8.0)", "databases[sqlite] (>=0.3.2,<0.7.0)", "email-validator (>=1.1.1,<2.0.0)", "flask (>=1.1.2,<3.0.0)", "httpx (>=0.23.0,<0.24.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.982)", "orjson (>=3.2.1,<4.0.0)", "passlib[bcrypt] (>=1.7.2,<2.0.0)", "peewee (>=3.13.3,<4.0.0)", "pytest (>=7.1.3,<8.0.0)", "python-jose[cryptography] (>=3.3.0,<4.0.0)", "python-multipart (>=0.0.5,<0.0.7)", "pyyaml (>=5.3.1,<7.0.0)", "ruff (==0.0.138)", "sqlalchemy (>=1.3.18,<1.4.43)", "types-orjson (==3.6.2)", "types-ujson (==5.7.0.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0,<6.0.0)"]
 
 [[package]]
 name = "fastjsonschema"
-version = "2.16.2"
+version = "2.16.3"
 description = "Fastest Python implementation of JSON schema"
 category = "dev"
 optional = false
 python-versions = "*"
 files = [
-    {file = "fastjsonschema-2.16.2-py3-none-any.whl", hash = "sha256:21f918e8d9a1a4ba9c22e09574ba72267a6762d47822db9add95f6454e51cc1c"},
-    {file = "fastjsonschema-2.16.2.tar.gz", hash = "sha256:01e366f25d9047816fe3d288cbfc3e10541daf0af2044763f3d0ade42476da18"},
+    {file = "fastjsonschema-2.16.3-py3-none-any.whl", hash = "sha256:04fbecc94300436f628517b05741b7ea009506ce8f946d40996567c669318490"},
+    {file = "fastjsonschema-2.16.3.tar.gz", hash = "sha256:4a30d6315a68c253cfa8f963b9697246315aa3db89f98b97235e345dedfb0b8e"},
 ]
 
 [package.extras]
@@ -967,19 +1067,34 @@ devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benc
 
 [[package]]
 name = "filelock"
-version = "3.8.0"
+version = "3.11.0"
 description = "A platform independent file lock."
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "filelock-3.8.0-py3-none-any.whl", hash = "sha256:617eb4e5eedc82fc5f47b6d61e4d11cb837c56cb4544e39081099fa17ad109d4"},
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+    {file = "filelock-3.11.0-py3-none-any.whl", hash = "sha256:f08a52314748335c6460fc8fe40cd5638b85001225db78c2aa01c8c0db83b318"},
+    {file = "filelock-3.11.0.tar.gz", hash = "sha256:3618c0da67adcc0506b015fd11ef7faf1b493f0b40d87728e19986b536890c37"},
 ]
 
 [package.extras]
-docs = ["furo (>=2022.6.21)", "sphinx (>=5.1.1)", "sphinx-autodoc-typehints (>=1.19.1)"]
-testing = ["covdefaults (>=2.2)", "coverage (>=6.4.2)", "pytest (>=7.1.2)", "pytest-cov (>=3)", "pytest-timeout (>=2.1)"]
+docs = ["furo (>=2023.3.27)", "sphinx (>=6.1.3)", "sphinx-autodoc-typehints (>=1.22,!=1.23.4)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.2.2)", "diff-cover (>=7.5)", "pytest (>=7.2.2)", "pytest-cov (>=4)", "pytest-mock (>=3.10)", "pytest-timeout (>=2.1)"]
+
+[[package]]
+name = "fqdn"
+version = "1.5.1"
+description = "Validates fully-qualified domain names against RFC 1123, so that they are acceptable to modern bowsers"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4"
+files = [
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+    {file = "fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f"},
+]
+
+[package.dependencies]
+cached-property = {version = ">=1.3.0", markers = "python_version < \"3.8\""}
 
 [[package]]
 name = "frozenlist"
@@ -1085,14 +1200,14 @@ dev = ["flake8", "markdown", "twine", "wheel"]
 
 [[package]]
 name = "griffe"
-version = "0.25.5"
+version = "0.27.0"
 description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
 category = "dev"
 optional = false
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+    {file = "grpcio_tools-1.53.0-cp39-cp39-win_amd64.whl", hash = "sha256:7c0ede22796259e83aa1f108038513e86672b2892d3654f94415e3930b74b871"},
+]
+
+[package.dependencies]
+grpcio = ">=1.53.0"
+protobuf = ">=4.21.6,<5.0dev"
+setuptools = "*"
+
 [[package]]
 name = "h11"
 version = "0.14.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1117,6 +1350,22 @@ files = [
 [package.dependencies]
 typing-extensions = {version = "*", markers = "python_version < \"3.8\""}
 
+[[package]]
+name = "h2"
+version = "4.1.0"
+description = "HTTP/2 State-Machine based protocol implementation"
+category = "main"
+optional = true
+python-versions = ">=3.6.1"
+files = [
+    {file = "h2-4.1.0-py3-none-any.whl", hash = "sha256:03a46bcf682256c95b5fd9e9a99c1323584c3eec6440d379b9903d709476bc6d"},
+    {file = "h2-4.1.0.tar.gz", hash = "sha256:a83aca08fbe7aacb79fec788c9c0bac936343560ed9ec18b82a13a12c28d2abb"},
+]
+
+[package.dependencies]
+hpack = ">=4.0,<5"
+hyperframe = ">=6.0,<7"
+
 [[package]]
 name = "hnswlib"
 version = "0.7.0"
@@ -1131,16 +1380,28 @@ files = [
 [package.dependencies]
 numpy = "*"
 
+[[package]]
+name = "hpack"
+version = "4.0.0"
+description = "Pure-Python HPACK header compression"
+category = "main"
+optional = true
+python-versions = ">=3.6.1"
+files = [
+    {file = "hpack-4.0.0-py3-none-any.whl", hash = "sha256:84a076fad3dc9a9f8063ccb8041ef100867b1878b25ef0ee63847a5d53818a6c"},
+    {file = "hpack-4.0.0.tar.gz", hash = "sha256:fc41de0c63e687ebffde81187a948221294896f6bdc0ae2312708df339430095"},
+]
+
 [[package]]
 name = "httpcore"
-version = "0.16.1"
+version = "0.17.0"
 description = "A minimal low-level HTTP client."
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "httpcore-0.16.1-py3-none-any.whl", hash = "sha256:8d393db683cc8e35cc6ecb02577c5e1abfedde52b38316d038932a84b4875ecb"},
-    {file = "httpcore-0.16.1.tar.gz", hash = "sha256:3d3143ff5e1656a5740ea2f0c167e8e9d48c5a9bbd7f00ad1f8cff5711b08543"},
+    {file = "httpcore-0.17.0-py3-none-any.whl", hash = "sha256:0fdfea45e94f0c9fd96eab9286077f9ff788dd186635ae61b312693e4d943599"},
+    {file = "httpcore-0.17.0.tar.gz", hash = "sha256:cc045a3241afbf60ce056202301b4d8b6af08845e3294055eb26b09913ef903c"},
 ]
 
 [package.dependencies]
@@ -1155,38 +1416,51 @@ socks = ["socksio (>=1.0.0,<2.0.0)"]
 
 [[package]]
 name = "httpx"
-version = "0.23.1"
+version = "0.24.0"
 description = "The next generation HTTP client."
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "httpx-0.23.1-py3-none-any.whl", hash = "sha256:0b9b1f0ee18b9978d637b0776bfd7f54e2ca278e063e3586d8f01cda89e042a8"},
-    {file = "httpx-0.23.1.tar.gz", hash = "sha256:202ae15319be24efe9a8bd4ed4360e68fde7b38bcc2ce87088d416f026667d19"},
+    {file = "httpx-0.24.0-py3-none-any.whl", hash = "sha256:447556b50c1921c351ea54b4fe79d91b724ed2b027462ab9a329465d147d5a4e"},
+    {file = "httpx-0.24.0.tar.gz", hash = "sha256:507d676fc3e26110d41df7d35ebd8b3b8585052450f4097401c9be59d928c63e"},
 ]
 
 [package.dependencies]
 certifi = "*"
-httpcore = ">=0.15.0,<0.17.0"
-rfc3986 = {version = ">=1.3,<2", extras = ["idna2008"]}
+h2 = {version = ">=3,<5", optional = true, markers = "extra == \"http2\""}
+httpcore = ">=0.15.0,<0.18.0"
+idna = "*"
 sniffio = "*"
 
 [package.extras]
 brotli = ["brotli", "brotlicffi"]
-cli = ["click (>=8.0.0,<9.0.0)", "pygments (>=2.0.0,<3.0.0)", "rich (>=10,<13)"]
+cli = ["click (>=8.0.0,<9.0.0)", "pygments (>=2.0.0,<3.0.0)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (>=1.0.0,<2.0.0)"]
 
+[[package]]
+name = "hyperframe"
+version = "6.0.1"
+description = "HTTP/2 framing layer for Python"
+category = "main"
+optional = true
+python-versions = ">=3.6.1"
+files = [
+    {file = "hyperframe-6.0.1-py3-none-any.whl", hash = "sha256:0ec6bafd80d8ad2195c4f03aacba3a8265e57bc4cff261e802bf39970ed02a15"},
+    {file = "hyperframe-6.0.1.tar.gz", hash = "sha256:ae510046231dc8e9ecb1a6586f63d2347bf4c8905914aa84ba585ae85f28a914"},
+]
+
 [[package]]
 name = "identify"
-version = "2.5.8"
+version = "2.5.22"
 description = "File identification library for Python"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "identify-2.5.8-py2.py3-none-any.whl", hash = "sha256:48b7925fe122720088aeb7a6c34f17b27e706b72c61070f27fe3789094233440"},
-    {file = "identify-2.5.8.tar.gz", hash = "sha256:7a214a10313b9489a0d61467db2856ae8d0b8306fc923e03a9effa53d8aedc58"},
+    {file = "identify-2.5.22-py2.py3-none-any.whl", hash = "sha256:f0faad595a4687053669c112004178149f6c326db71ee999ae4636685753ad2f"},
+    {file = "identify-2.5.22.tar.gz", hash = "sha256:f7a93d6cf98e29bd07663c60728e7a4057615068d7a639d132dc883b2d54d31e"},
 ]
 
 [package.extras]
@@ -1206,14 +1480,14 @@ files = [
 
 [[package]]
 name = "importlib-metadata"
-version = "5.0.0"
+version = "6.3.0"
 description = "Read metadata from Python packages"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "importlib_metadata-5.0.0-py3-none-any.whl", hash = "sha256:ddb0e35065e8938f867ed4928d0ae5bf2a53b7773871bfe6bcc7e4fcdc7dea43"},
-    {file = "importlib_metadata-5.0.0.tar.gz", hash = "sha256:da31db32b304314d044d3c12c79bd59e307889b287ad12ff387b3500835fc2ab"},
+    {file = "importlib_metadata-6.3.0-py3-none-any.whl", hash = "sha256:8f8bd2af397cf33bd344d35cfe7f489219b7d14fc79a3f854b75b8417e9226b0"},
+    {file = "importlib_metadata-6.3.0.tar.gz", hash = "sha256:23c2bcae4762dfb0bbe072d358faec24957901d75b6c4ab11172c0c982532402"},
 ]
 
 [package.dependencies]
@@ -1221,39 +1495,39 @@ typing-extensions = {version = ">=3.6.4", markers = "python_version < \"3.8\""}
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
 testing = ["flake8 (<5)", "flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)"]
 
 [[package]]
 name = "importlib-resources"
-version = "5.10.0"
+version = "5.12.0"
 description = "Read resources from Python packages"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "importlib_resources-5.10.0-py3-none-any.whl", hash = "sha256:ee17ec648f85480d523596ce49eae8ead87d5631ae1551f913c0100b5edd3437"},
-    {file = "importlib_resources-5.10.0.tar.gz", hash = "sha256:c01b1b94210d9849f286b86bb51bcea7cd56dde0600d8db721d7b81330711668"},
+    {file = "importlib_resources-5.12.0-py3-none-any.whl", hash = "sha256:7b1deeebbf351c7578e09bf2f63fa2ce8b5ffec296e0d349139d43cca061a81a"},
+    {file = "importlib_resources-5.12.0.tar.gz", hash = "sha256:4be82589bf5c1d7999aedf2a45159d10cb3ca4f19b2271f8792bc8e6da7b22f6"},
 ]
 
 [package.dependencies]
 zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 testing = ["flake8 (<5)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
 
 [[package]]
 name = "iniconfig"
-version = "1.1.1"
-description = "iniconfig: brain-dead simple config-ini parsing"
+version = "2.0.0"
+description = "brain-dead simple config-ini parsing"
 category = "dev"
 optional = false
-python-versions = "*"
+python-versions = ">=3.7"
 files = [
-    {file = "iniconfig-1.1.1-py2.py3-none-any.whl", hash = "sha256:011e24c64b7f47f6ebd835bb12a743f2fbe9a26d4cecaa7f53bc4f35ee9da8b3"},
-    {file = "iniconfig-1.1.1.tar.gz", hash = "sha256:bc3af051d7d14b2ee5ef9969666def0cd1a000e121eaea580d4a313df4b37f32"},
+    {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
+    {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
 ]
 
 [[package]]
@@ -1334,6 +1608,21 @@ files = [
     {file = "ipython_genutils-0.2.0.tar.gz", hash = "sha256:eb2e116e75ecef9d4d228fdc66af54269afa26ab4463042e33785b887c628ba8"},
 ]
 
+[[package]]
+name = "isoduration"
+version = "20.11.0"
+description = "Operations with ISO 8601 durations"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042"},
+    {file = "isoduration-20.11.0.tar.gz", hash = "sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9"},
+]
+
+[package.dependencies]
+arrow = ">=0.15.0"
+
 [[package]]
 name = "isort"
 version = "5.11.5"
@@ -1354,33 +1643,34 @@ requirements-deprecated-finder = ["pip-api", "pipreqs"]
 
 [[package]]
 name = "jedi"
-version = "0.18.1"
+version = "0.18.2"
 description = "An autocompletion tool for Python that can be used for text editors."
 category = "dev"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "jedi-0.18.1-py2.py3-none-any.whl", hash = "sha256:637c9635fcf47945ceb91cd7f320234a7be540ded6f3e99a50cb6febdfd1ba8d"},
-    {file = "jedi-0.18.1.tar.gz", hash = "sha256:74137626a64a99c8eb6ae5832d99b3bdd7d29a3850fe2aa80a4126b2a7d949ab"},
+    {file = "jedi-0.18.2-py2.py3-none-any.whl", hash = "sha256:203c1fd9d969ab8f2119ec0a3342e0b49910045abe6af0a3ae83a5764d54639e"},
+    {file = "jedi-0.18.2.tar.gz", hash = "sha256:bae794c30d07f6d910d32a7048af09b5a39ed740918da923c6b780790ebac612"},
 ]
 
 [package.dependencies]
 parso = ">=0.8.0,<0.9.0"
 
 [package.extras]
+docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
 qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
-testing = ["Django (<3.1)", "colorama", "docopt", "pytest (<7.0.0)"]
+testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
 
 [[package]]
 name = "jina-hubble-sdk"
-version = "0.34.0"
+version = "0.36.0"
 description = "SDK for Hubble API at Jina AI."
 category = "main"
 optional = true
 python-versions = ">=3.7.0"
 files = [
-    {file = "jina-hubble-sdk-0.34.0.tar.gz", hash = "sha256:d52e1c3b90262a779dd6be66c687d5d824698cc0e17f79e9f6b94d03e86b10c1"},
-    {file = "jina_hubble_sdk-0.34.0-py3-none-any.whl", hash = "sha256:d52b5d0756b710192453858a6d9056280616b9c1ab35fbf061fe6ee66cdf77a5"},
+    {file = "jina-hubble-sdk-0.36.0.tar.gz", hash = "sha256:ba1a72c7a5c14963fdad9af1ff4c3bba26a03ddcced08111bd11a95b153249ec"},
+    {file = "jina_hubble_sdk-0.36.0-py3-none-any.whl", hash = "sha256:56db142147d7c72142ed1b6505020c3b4d8070b1603d07ff796e56d491dde294"},
 ]
 
 [package.dependencies]
@@ -1429,38 +1719,58 @@ files = [
 
 [[package]]
 name = "json5"
-version = "0.9.10"
+version = "0.9.11"
 description = "A Python implementation of the JSON5 data format."
 category = "dev"
 optional = false
 python-versions = "*"
 files = [
-    {file = "json5-0.9.10-py2.py3-none-any.whl", hash = "sha256:993189671e7412e9cdd8be8dc61cf402e8e579b35f1d1bb20ae6b09baa78bbce"},
-    {file = "json5-0.9.10.tar.gz", hash = "sha256:ad9f048c5b5a4c3802524474ce40a622fae789860a86f10cc4f7e5f9cf9b46ab"},
+    {file = "json5-0.9.11-py2.py3-none-any.whl", hash = "sha256:1aa54b80b5e507dfe31d12b7743a642e2ffa6f70bf73b8e3d7d1d5fba83d99bd"},
+    {file = "json5-0.9.11.tar.gz", hash = "sha256:4f1e196acc55b83985a51318489f345963c7ba84aa37607e49073066c562e99b"},
 ]
 
 [package.extras]
 dev = ["hypothesis"]
 
+[[package]]
+name = "jsonpointer"
+version = "2.3"
+description = "Identify specific nodes in a JSON document (RFC 6901)"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+files = [
+    {file = "jsonpointer-2.3-py2.py3-none-any.whl", hash = "sha256:51801e558539b4e9cd268638c078c6c5746c9ac96bc38152d443400e4f3793e9"},
+    {file = "jsonpointer-2.3.tar.gz", hash = "sha256:97cba51526c829282218feb99dab1b1e6bdf8efd1c43dc9d57be093c0d69c99a"},
+]
+
 [[package]]
 name = "jsonschema"
-version = "4.17.0"
+version = "4.17.3"
 description = "An implementation of JSON Schema validation for Python"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "jsonschema-4.17.0-py3-none-any.whl", hash = "sha256:f660066c3966db7d6daeaea8a75e0b68237a48e51cf49882087757bb59916248"},
-    {file = "jsonschema-4.17.0.tar.gz", hash = "sha256:5bfcf2bca16a087ade17e02b282d34af7ccd749ef76241e7f9bd7c0cb8a9424d"},
+    {file = "jsonschema-4.17.3-py3-none-any.whl", hash = "sha256:a870ad254da1a8ca84b6a2905cac29d265f805acc57af304784962a2aa6508f6"},
+    {file = "jsonschema-4.17.3.tar.gz", hash = "sha256:0f864437ab8b6076ba6707453ef8f98a6a0d512a80e93f8abdb676f737ecb60d"},
 ]
 
 [package.dependencies]
 attrs = ">=17.4.0"
+fqdn = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
+idna = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
 importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
 importlib-resources = {version = ">=1.4.0", markers = "python_version < \"3.9\""}
+isoduration = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
+jsonpointer = {version = ">1.13", optional = true, markers = "extra == \"format-nongpl\""}
 pkgutil-resolve-name = {version = ">=1.3.10", markers = "python_version < \"3.9\""}
 pyrsistent = ">=0.14.0,<0.17.0 || >0.17.0,<0.17.1 || >0.17.1,<0.17.2 || >0.17.2"
+rfc3339-validator = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
+rfc3986-validator = {version = ">0.1.0", optional = true, markers = "extra == \"format-nongpl\""}
 typing-extensions = {version = "*", markers = "python_version < \"3.8\""}
+uri-template = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
+webcolors = {version = ">=1.11", optional = true, markers = "extra == \"format-nongpl\""}
 
 [package.extras]
 format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
@@ -1468,14 +1778,14 @@ format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-
 
 [[package]]
 name = "jupyter-client"
-version = "7.4.6"
+version = "7.4.9"
 description = "Jupyter protocol implementation and client libraries"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "jupyter_client-7.4.6-py3-none-any.whl", hash = "sha256:540b6a5c9c2dc481c5dd54fd5acb260f03dfaaa7c5325b2ffb1f676710f8c7c4"},
-    {file = "jupyter_client-7.4.6.tar.gz", hash = "sha256:f7f9a9dc3a0ecd223ed6a5a00cf4140a5c252ec72e52d6de370748ed0aa083dd"},
+    {file = "jupyter_client-7.4.9-py3-none-any.whl", hash = "sha256:214668aaea208195f4c13d28eb272ba79f945fc0cf3f11c7092c20b2ca1980e7"},
+    {file = "jupyter_client-7.4.9.tar.gz", hash = "sha256:52be28e04171f07aed8f20e1616a5a552ab9fee9cbbe6c1896ae170c3880d392"},
 ]
 
 [package.dependencies]
@@ -1510,16 +1820,41 @@ traitlets = "*"
 [package.extras]
 test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"]
 
+[[package]]
+name = "jupyter-events"
+version = "0.6.3"
+description = "Jupyter Event System library"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "jupyter_events-0.6.3-py3-none-any.whl", hash = "sha256:57a2749f87ba387cd1bfd9b22a0875b889237dbf2edc2121ebb22bde47036c17"},
+    {file = "jupyter_events-0.6.3.tar.gz", hash = "sha256:9a6e9995f75d1b7146b436ea24d696ce3a35bfa8bfe45e0c33c334c79464d0b3"},
+]
+
+[package.dependencies]
+jsonschema = {version = ">=3.2.0", extras = ["format-nongpl"]}
+python-json-logger = ">=2.0.4"
+pyyaml = ">=5.3"
+rfc3339-validator = "*"
+rfc3986-validator = ">=0.1.1"
+traitlets = ">=5.3"
+
+[package.extras]
+cli = ["click", "rich"]
+docs = ["jupyterlite-sphinx", "myst-parser", "pydata-sphinx-theme", "sphinxcontrib-spelling"]
+test = ["click", "coverage", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.19.0)", "pytest-console-scripts", "pytest-cov", "rich"]
+
 [[package]]
 name = "jupyter-server"
-version = "1.23.2"
+version = "1.24.0"
 description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "jupyter_server-1.24.0-py3-none-any.whl", hash = "sha256:c88ddbe862966ea1aea8c3ccb89a5903abd8fbcfe5cd14090ef549d403332c37"},
+    {file = "jupyter_server-1.24.0.tar.gz", hash = "sha256:23368e8e214baf82b313d4c5a0d828ca73015e1a192ce3829bd74e62fab8d046"},
 ]
 
 [package.dependencies]
@@ -1527,7 +1862,7 @@ anyio = ">=3.1.0,<4"
 argon2-cffi = "*"
 jinja2 = "*"
 jupyter-client = ">=6.1.12"
-jupyter-core = ">=4.7.0"
+jupyter-core = ">=4.12,<5.0.0 || >=5.1.0"
 nbconvert = ">=6.4.4"
 nbformat = ">=5.2.0"
 packaging = "*"
@@ -1543,16 +1878,76 @@ websocket-client = "*"
 [package.extras]
 test = ["coverage", "ipykernel", "pre-commit", "pytest (>=7.0)", "pytest-console-scripts", "pytest-cov", "pytest-mock", "pytest-timeout", "pytest-tornasync", "requests"]
 
+[[package]]
+name = "jupyter-server-fileid"
+version = "0.9.0"
+description = ""
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "jupyter_server_fileid-0.9.0-py3-none-any.whl", hash = "sha256:5b489c6fe6783c41174a728c7b81099608518387e53c3d53451a67f46a0cb7b0"},
+    {file = "jupyter_server_fileid-0.9.0.tar.gz", hash = "sha256:171538b7c7d08d11dbc57d4e6da196e0c258e4c2cd29249ef1e032bb423677f8"},
+]
+
+[package.dependencies]
+jupyter-events = ">=0.5.0"
+jupyter-server = ">=1.15,<3"
+
+[package.extras]
+cli = ["click"]
+test = ["jupyter-server[test] (>=1.15,<3)", "pytest", "pytest-cov"]
+
+[[package]]
+name = "jupyter-server-ydoc"
+version = "0.8.0"
+description = "A Jupyter Server Extension Providing Y Documents."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "jupyter_server_ydoc-0.8.0-py3-none-any.whl", hash = "sha256:969a3a1a77ed4e99487d60a74048dc9fa7d3b0dcd32e60885d835bbf7ba7be11"},
+    {file = "jupyter_server_ydoc-0.8.0.tar.gz", hash = "sha256:a6fe125091792d16c962cc3720c950c2b87fcc8c3ecf0c54c84e9a20b814526c"},
+]
+
+[package.dependencies]
+jupyter-server-fileid = ">=0.6.0,<1"
+jupyter-ydoc = ">=0.2.0,<0.4.0"
+ypy-websocket = ">=0.8.2,<0.9.0"
+
+[package.extras]
+test = ["coverage", "jupyter-server[test] (>=2.0.0a0)", "pytest (>=7.0)", "pytest-cov", "pytest-timeout", "pytest-tornasync"]
+
+[[package]]
+name = "jupyter-ydoc"
+version = "0.2.4"
+description = "Document structures for collaborative editing using Ypy"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "jupyter_ydoc-0.2.4-py3-none-any.whl", hash = "sha256:d1a51c73ead6f6417bec0450f53c577a66abe8d43e9c2d8a1acaf7a17259f843"},
+    {file = "jupyter_ydoc-0.2.4.tar.gz", hash = "sha256:a3f670a69135e90493ffb91d6788efe2632bf42c6cc42a25f25c2e6eddd55a0e"},
+]
+
+[package.dependencies]
+importlib-metadata = {version = ">=3.6", markers = "python_version < \"3.10\""}
+y-py = ">=0.5.3,<0.6.0"
+
+[package.extras]
+dev = ["click", "jupyter-releaser"]
+test = ["pre-commit", "pytest", "pytest-asyncio", "websockets (>=10.0)", "ypy-websocket (>=0.3.1,<0.4.0)"]
+
 [[package]]
 name = "jupyterlab"
-version = "3.5.0"
+version = "3.6.3"
 description = "JupyterLab computational environment"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "jupyterlab-3.5.0-py3-none-any.whl", hash = "sha256:f433059fe0e12d75ea90a81a0b6721113bb132857e3ec2197780b6fe84cbcbde"},
-    {file = "jupyterlab-3.5.0.tar.gz", hash = "sha256:e02556c8ea1b386963c4b464e4618aee153c5416b07ab481425c817a033323a2"},
+    {file = "jupyterlab-3.6.3-py3-none-any.whl", hash = "sha256:6aba0caa771697d02fbf409f9767b2fdb4ee32ce935940e3b9a0d5d48d994d0f"},
+    {file = "jupyterlab-3.6.3.tar.gz", hash = "sha256:373e9cfb8a72edd294be14f16662563a220cecf0fb26de7aab1af9a29b689b82"},
 ]
 
 [package.dependencies]
@@ -1560,16 +1955,17 @@ ipython = "*"
 jinja2 = ">=2.1"
 jupyter-core = "*"
 jupyter-server = ">=1.16.0,<3"
-jupyterlab-server = ">=2.10,<3.0"
+jupyter-server-ydoc = ">=0.8.0,<0.9.0"
+jupyter-ydoc = ">=0.2.3,<0.3.0"
+jupyterlab-server = ">=2.19,<3.0"
 nbclassic = "*"
 notebook = "<7"
 packaging = "*"
-tomli = "*"
+tomli = {version = "*", markers = "python_version < \"3.11\""}
 tornado = ">=6.1.0"
 
 [package.extras]
-test = ["check-manifest", "coverage", "jupyterlab-server[test]", "pre-commit", "pytest (>=6.0)", "pytest-check-links (>=0.5)", "pytest-console-scripts", "pytest-cov", "requests", "requests-cache", "virtualenv"]
-ui-tests = ["build"]
+test = ["check-manifest", "coverage", "jupyterlab-server[test]", "pre-commit", "pytest (>=6.0)", "pytest-check-links (>=0.5)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "requests", "requests-cache", "virtualenv"]
 
 [[package]]
 name = "jupyterlab-pygments"
@@ -1585,30 +1981,30 @@ files = [
 
 [[package]]
 name = "jupyterlab-server"
-version = "2.16.3"
+version = "2.22.1"
 description = "A set of server components for JupyterLab and JupyterLab like applications."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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-    {file = "jupyterlab_server-2.16.3.tar.gz", hash = "sha256:635a0b176a901f19351c02221a124e59317c476f511200409b7d867e8b2905c3"},
+    {file = "jupyterlab_server-2.22.1-py3-none-any.whl", hash = "sha256:1c8eb55c7cd70a50a51fef42a7b4e26ef2f7fc48728f0290604bd89b1dd156e6"},
+    {file = "jupyterlab_server-2.22.1.tar.gz", hash = "sha256:dfaaf898af84b9d01ae9583b813f378b96ee90c3a66f24c5186ea5d1bbdb2089"},
 ]
 
 [package.dependencies]
-babel = "*"
+babel = ">=2.10"
 importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""}
 jinja2 = ">=3.0.3"
-json5 = "*"
-jsonschema = ">=3.0.1"
-jupyter-server = ">=1.8,<3"
-packaging = "*"
-requests = "*"
+json5 = ">=0.9.0"
+jsonschema = ">=4.17.3"
+jupyter-server = ">=1.21,<3"
+packaging = ">=21.3"
+requests = ">=2.28"
 
 [package.extras]
-docs = ["autodoc-traits", "docutils (<0.19)", "jinja2 (<3.1.0)", "mistune (<1)", "myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-copybutton", "sphinxcontrib-openapi"]
-openapi = ["openapi-core (>=0.14.2)", "ruamel-yaml"]
-test = ["codecov", "ipykernel", "jupyter-server[test]", "openapi-core (>=0.14.2,<0.15.0)", "openapi-spec-validator (<0.5)", "pytest (>=7.0)", "pytest-console-scripts", "pytest-cov", "requests-mock", "ruamel-yaml", "strict-rfc3339"]
+docs = ["autodoc-traits", "docutils (<0.20)", "jinja2 (<3.2.0)", "mistune (<3)", "myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-copybutton", "sphinxcontrib-openapi"]
+openapi = ["openapi-core (>=0.16.1,<0.17.0)", "ruamel-yaml"]
+test = ["hatch", "ipykernel", "jupyterlab-server[openapi]", "openapi-spec-validator (>=0.5.1,<0.6.0)", "pytest (>=7.0)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter[server] (>=0.6.2)", "pytest-timeout", "requests-mock", "sphinxcontrib-spelling", "strict-rfc3339", "werkzeug"]
 
 [[package]]
 name = "lxml"
@@ -1846,54 +2242,90 @@ importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""}
 [package.extras]
 testing = ["coverage", "pyyaml"]
 
+[[package]]
+name = "markdown-it-py"
+version = "2.2.0"
+description = "Python port of markdown-it. Markdown parsing, done right!"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
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+[package.dependencies]
+mdurl = ">=0.1,<1.0"
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+
+[package.extras]
+benchmarking = ["psutil", "pytest", "pytest-benchmark"]
+code-style = ["pre-commit (>=3.0,<4.0)"]
+compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "mistletoe (>=1.0,<2.0)", "mistune (>=2.0,<3.0)", "panflute (>=2.3,<3.0)"]
+linkify = ["linkify-it-py (>=1,<3)"]
+plugins = ["mdit-py-plugins"]
+profiling = ["gprof2dot"]
+rtd = ["attrs", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"]
+testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
+
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+version = "2.1.2"
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 ]
 
 [[package]]
@@ -1911,6 +2343,18 @@ files = [
 [package.dependencies]
 traitlets = "*"
 
+[[package]]
+name = "mdurl"
+version = "0.1.2"
+description = "Markdown URL utilities"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
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+]
+
 [[package]]
 name = "mergedeep"
 version = "1.3.4"
@@ -1925,14 +2369,14 @@ files = [
 
 [[package]]
 name = "mistune"
-version = "2.0.4"
+version = "2.0.5"
 description = "A sane Markdown parser with useful plugins and renderers"
 category = "dev"
 optional = false
 python-versions = "*"
 files = [
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+    {file = "mistune-2.0.5.tar.gz", hash = "sha256:0246113cb2492db875c6be56974a7c893333bf26cd92891c85f63151cee09d34"},
 ]
 
 [[package]]
@@ -1983,14 +2427,14 @@ mkdocs = ">=1.1"
 
 [[package]]
 name = "mkdocs-awesome-pages-plugin"
-version = "2.8.0"
+version = "2.9.0"
 description = "An MkDocs plugin that simplifies configuring page titles and their order"
 category = "dev"
 optional = false
-python-versions = ">=3.6.2"
+python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -2000,14 +2444,14 @@ wcmatch = ">=7"
 
 [[package]]
 name = "mkdocs-material"
-version = "9.1.3"
+version = "9.1.6"
 description = "Documentation that simply works"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "mkdocs_material-9.1.6.tar.gz", hash = "sha256:2e555152f9771646bfa62dc78a86052876183eff69ce30db03a33e85702b21fc"},
 ]
 
 [package.dependencies]
@@ -2051,14 +2495,14 @@ mkdocs = ">=1.1.0,<2"
 
 [[package]]
 name = "mkdocstrings"
-version = "0.20.0"
+version = "0.21.2"
 description = "Automatic documentation from sources, for MkDocs."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "mkdocstrings-0.21.2.tar.gz", hash = "sha256:304e56a2e90595708a38a13a278e538a67ad82052dd5c8b71f77a604a4f3d911"},
 ]
 
 [package.dependencies]
@@ -2069,6 +2513,7 @@ mkdocs = ">=1.2"
 mkdocs-autorefs = ">=0.3.1"
 mkdocstrings-python = {version = ">=0.5.2", optional = true, markers = "extra == \"python\""}
 pymdown-extensions = ">=6.3"
+typing-extensions = {version = ">=4.1", markers = "python_version < \"3.10\""}
 
 [package.extras]
 crystal = ["mkdocstrings-crystal (>=0.3.4)"]
@@ -2077,19 +2522,19 @@ python-legacy = ["mkdocstrings-python-legacy (>=0.2.1)"]
 
 [[package]]
 name = "mkdocstrings-python"
-version = "0.8.3"
+version = "0.9.0"
 description = "A Python handler for mkdocstrings."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "mkdocstrings-python-0.8.3.tar.gz", hash = "sha256:9ae473f6dc599339b09eee17e4d2b05d6ac0ec29860f3fc9b7512d940fc61adf"},
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+    {file = "mkdocstrings-python-0.9.0.tar.gz", hash = "sha256:da0a54d7d46523a25a5227f0ecc74b491291bd9d36fc71445bfb0ea64283e287"},
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 ]
 
 [package.dependencies]
 griffe = ">=0.24"
-mkdocstrings = ">=0.19"
+mkdocstrings = ">=0.20"
 
 [[package]]
 name = "mktestdocs"
@@ -2210,42 +2655,42 @@ files = [
 
 [[package]]
 name = "mypy"
-version = "1.0.0"
+version = "1.2.0"
 description = "Optional static typing for Python"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
-mypy-extensions = ">=0.4.3"
+mypy-extensions = ">=1.0.0"
 tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
 typed-ast = {version = ">=1.4.0,<2", markers = "python_version < \"3.8\""}
 typing-extensions = ">=3.10"
@@ -2258,14 +2703,14 @@ reports = ["lxml"]
 
 [[package]]
 name = "mypy-extensions"
-version = "0.4.3"
-description = "Experimental type system extensions for programs checked with the mypy typechecker."
+version = "1.0.0"
+description = "Type system extensions for programs checked with the mypy type checker."
 category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">=3.5"
 files = [
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 ]
 
 [[package]]
@@ -2286,14 +2731,14 @@ icu = ["PyICU (>=1.0.0)"]
 
 [[package]]
 name = "nbclassic"
-version = "0.4.8"
-description = "A web-based notebook environment for interactive computing"
+version = "0.5.5"
+description = "Jupyter Notebook as a Jupyter Server extension."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -2318,40 +2763,41 @@ traitlets = ">=4.2.1"
 [package.extras]
 docs = ["myst-parser", "nbsphinx", "sphinx", "sphinx-rtd-theme", "sphinxcontrib-github-alt"]
 json-logging = ["json-logging"]
-test = ["coverage", "nbval", "pytest", "pytest-cov", "pytest-playwright", "pytest-tornasync", "requests", "requests-unixsocket", "testpath"]
+test = ["coverage", "nbval", "pytest", "pytest-cov", "pytest-jupyter", "pytest-playwright", "pytest-tornasync", "requests", "requests-unixsocket", "testpath"]
 
 [[package]]
 name = "nbclient"
-version = "0.7.0"
+version = "0.7.3"
 description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
 category = "dev"
 optional = false
 python-versions = ">=3.7.0"
 files = [
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 ]
 
 [package.dependencies]
-jupyter-client = ">=6.1.5"
-nbformat = ">=5.0"
-nest-asyncio = "*"
-traitlets = ">=5.2.2"
+jupyter-client = ">=6.1.12"
+jupyter-core = ">=4.12,<5.0.0 || >=5.1.0"
+nbformat = ">=5.1"
+traitlets = ">=5.3"
 
 [package.extras]
-sphinx = ["Sphinx (>=1.7)", "autodoc-traits", "mock", "moto", "myst-parser", "sphinx-book-theme"]
-test = ["black", "check-manifest", "flake8", "ipykernel", "ipython", "ipywidgets", "mypy", "nbconvert", "pip (>=18.1)", "pre-commit", "pytest (>=4.1)", "pytest-asyncio", "pytest-cov (>=2.6.1)", "setuptools (>=60.0)", "testpath", "twine (>=1.11.0)", "xmltodict"]
+dev = ["pre-commit"]
+docs = ["autodoc-traits", "mock", "moto", "myst-parser", "nbclient[test]", "sphinx (>=1.7)", "sphinx-book-theme", "sphinxcontrib-spelling"]
+test = ["flaky", "ipykernel", "ipython", "ipywidgets", "nbconvert (>=7.0.0)", "pytest (>=7.0)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"]
 
 [[package]]
 name = "nbconvert"
-version = "7.2.5"
+version = "7.3.1"
 description = "Converting Jupyter Notebooks"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "nbconvert-7.3.1.tar.gz", hash = "sha256:78685362b11d2e8058e70196fe83b09abed8df22d3e599cf271f4d39fdc48b9e"},
 ]
 
 [package.dependencies]
@@ -2373,24 +2819,24 @@ tinycss2 = "*"
 traitlets = ">=5.0"
 
 [package.extras]
-all = ["ipykernel", "ipython", "ipywidgets (>=7)", "myst-parser", "nbsphinx (>=0.2.12)", "pre-commit", "pyppeteer (>=1,<1.1)", "pyqtwebengine (>=5.15)", "pytest", "pytest-cov", "pytest-dependency", "sphinx (==5.0.2)", "sphinx-rtd-theme", "tornado (>=6.1)"]
-docs = ["ipython", "myst-parser", "nbsphinx (>=0.2.12)", "sphinx (==5.0.2)", "sphinx-rtd-theme"]
-qtpdf = ["pyqtwebengine (>=5.15)"]
+all = ["nbconvert[docs,qtpdf,serve,test,webpdf]"]
+docs = ["ipykernel", "ipython", "myst-parser", "nbsphinx (>=0.2.12)", "pydata-sphinx-theme", "sphinx (==5.0.2)", "sphinxcontrib-spelling"]
+qtpdf = ["nbconvert[qtpng]"]
 qtpng = ["pyqtwebengine (>=5.15)"]
 serve = ["tornado (>=6.1)"]
-test = ["ipykernel", "ipywidgets (>=7)", "pre-commit", "pyppeteer (>=1,<1.1)", "pytest", "pytest-cov", "pytest-dependency"]
+test = ["ipykernel", "ipywidgets (>=7)", "pre-commit", "pytest", "pytest-dependency"]
 webpdf = ["pyppeteer (>=1,<1.1)"]
 
 [[package]]
 name = "nbformat"
-version = "5.7.0"
+version = "5.8.0"
 description = "The Jupyter Notebook format"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "nbformat-5.8.0-py3-none-any.whl", hash = "sha256:d910082bd3e0bffcf07eabf3683ed7dda0727a326c446eeb2922abe102e65162"},
+    {file = "nbformat-5.8.0.tar.gz", hash = "sha256:46dac64c781f1c34dfd8acba16547024110348f9fc7eab0f31981c2a3dc48d1f"},
 ]
 
 [package.dependencies]
@@ -2401,7 +2847,8 @@ jupyter-core = "*"
 traitlets = ">=5.1"
 
 [package.extras]
-test = ["check-manifest", "pep440", "pre-commit", "pytest", "testpath"]
+docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
+test = ["pep440", "pre-commit", "pytest", "testpath"]
 
 [[package]]
 name = "nest-asyncio"
@@ -2451,14 +2898,14 @@ setuptools = "*"
 
 [[package]]
 name = "notebook"
-version = "6.5.2"
+version = "6.5.4"
 description = "A web-based notebook environment for interactive computing"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "notebook-6.5.4-py3-none-any.whl", hash = "sha256:dd17e78aefe64c768737b32bf171c1c766666a21cc79a44d37a1700771cab56f"},
+    {file = "notebook-6.5.4.tar.gz", hash = "sha256:517209568bd47261e2def27a140e97d49070602eea0d226a696f42a7f16c9a4e"},
 ]
 
 [package.dependencies]
@@ -2502,6 +2949,40 @@ jupyter-server = ">=1.8,<3"
 [package.extras]
 test = ["pytest", "pytest-console-scripts", "pytest-tornasync"]
 
+[[package]]
+name = "numpy"
+version = "1.20.3"
+description = "NumPy is the fundamental package for array computing with Python."
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
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 ]
 
 [package.extras]
-docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinxext-opengraph"]
+docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-removed-in", "sphinxext-opengraph"]
 tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
 
 [[package]]
@@ -2869,30 +3367,33 @@ files = [
 
 [[package]]
 name = "platformdirs"
-version = "2.5.4"
+version = "3.2.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
+[package.dependencies]
+typing-extensions = {version = ">=4.5", markers = "python_version < \"3.8\""}
+
 [package.extras]
-docs = ["furo (>=2022.9.29)", "proselint (>=0.13)", "sphinx (>=5.3)", "sphinx-autodoc-typehints (>=1.19.4)"]
-test = ["appdirs (==1.4.4)", "pytest (>=7.2)", "pytest-cov (>=4)", "pytest-mock (>=3.10)"]
+docs = ["furo (>=2022.12.7)", "proselint (>=0.13)", "sphinx (>=6.1.3)", "sphinx-autodoc-typehints (>=1.22,!=1.23.4)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.2.2)", "pytest-cov (>=4)", "pytest-mock (>=3.10)"]
 
 [[package]]
 name = "pluggy"
-version = "0.13.1"
+version = "1.0.0"
 description = "plugin and hook calling mechanisms for python"
 category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.6"
 files = [
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 ]
 
 [package.dependencies]
@@ -2900,17 +3401,18 @@ importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""}
 
 [package.extras]
 dev = ["pre-commit", "tox"]
+testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "pre-commit"
-version = "2.20.0"
+version = "2.21.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -2919,19 +3421,18 @@ identify = ">=1.0.0"
 importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
 nodeenv = ">=0.11.1"
 pyyaml = ">=5.1"
-toml = "*"
-virtualenv = ">=20.0.8"
+virtualenv = ">=20.10.0"
 
 [[package]]
 name = "prometheus-client"
-version = "0.15.0"
+version = "0.16.0"
 description = "Python client for the Prometheus monitoring system."
 category = "dev"
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [package.extras]
@@ -2939,14 +3440,14 @@ twisted = ["twisted"]
 
 [[package]]
 name = "prompt-toolkit"
-version = "3.0.32"
+version = "3.0.38"
 description = "Library for building powerful interactive command lines in Python"
 category = "dev"
 optional = false
-python-versions = ">=3.6.2"
+python-versions = ">=3.7.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -2954,26 +3455,25 @@ wcwidth = "*"
 
 [[package]]
 name = "protobuf"
-version = "4.21.9"
+version = "4.22.3"
 description = ""
 category = "main"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
@@ -3015,18 +3515,6 @@ files = [
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 ]
 
-[[package]]
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-version = "1.11.0"
-description = "library with cross-python path, ini-parsing, io, code, log facilities"
-category = "dev"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
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-]
-
 [[package]]
 name = "pyasn1"
 version = "0.4.8"
@@ -3071,52 +3559,52 @@ files = [
 
 [[package]]
 name = "pydantic"
-version = "1.10.2"
+version = "1.10.7"
 description = "Data validation and settings management using python type hints"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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+version = "7.3.0"
 description = "pytest: simple powerful testing with Python"
 category = "dev"
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 importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""}
@@ -3235,25 +3712,26 @@ pluggy = ">=0.12,<2.0"
 tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
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 [package.extras]
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 testing = ["coverage (>=6.2)", "flaky (>=3.5.0)", "hypothesis (>=5.7.1)", "mypy (>=0.931)", "pytest-trio (>=0.7.0)"]
 
 [[package]]
@@ -3293,56 +3771,68 @@ cryptography = ["cryptography (>=3.4.0)"]
 pycrypto = ["pyasn1", "pycrypto (>=2.6.0,<2.7.0)"]
 pycryptodome = ["pyasn1", "pycryptodome (>=3.3.1,<4.0.0)"]
 
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+
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 [[package]]
@@ -3412,91 +3902,117 @@ pyyaml = "*"
 
 [[package]]
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 [package.dependencies]
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-py = {version = "*", markers = "implementation_name == \"pypy\""}
+
+[[package]]
+name = "qdrant-client"
+version = "1.1.4"
+description = "Client library for the Qdrant vector search engine"
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+python-versions = ">=3.7,<3.12"
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 [[package]]
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@@ -3619,42 +4135,51 @@ socks = ["PySocks (>=1.5.6,!=1.5.7)"]
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 [[package]]
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+six = "*"
 
-[package.extras]
-idna2008 = ["idna"]
+[[package]]
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 [package.extras]
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 [[package]]
 name = "rsa"
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 [[package]]
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+version = "0.0.261"
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@@ -3945,26 +4471,26 @@ files = [
 
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 [package.dependencies]
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 [[package]]
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 [package.dependencies]
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 tornado = ">=6.1.0"
 
 [package.extras]
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+docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
 test = ["pre-commit", "pytest (>=7.0)", "pytest-timeout"]
 
 [[package]]
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 test = ["flake8", "isort", "pytest"]
 
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+    {file = "torch-1.13.1-cp39-cp39-win_amd64.whl", hash = "sha256:0aa46f0ac95050c604bcf9ef71da9f1172e5037fdf2ebe051962d47b123848e7"},
+    {file = "torch-1.13.1-cp39-none-macosx_10_9_x86_64.whl", hash = "sha256:6930791efa8757cb6974af73d4996b6b50c592882a324b8fb0589c6a9ba2ddaf"},
+    {file = "torch-1.13.1-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:e0df902a7c7dd6c795698532ee5970ce898672625635d885eade9976e5a04949"},
 ]
 
 [package.dependencies]
-nvidia-cublas-cu11 = "11.10.3.66"
-nvidia-cuda-nvrtc-cu11 = "11.7.99"
-nvidia-cuda-runtime-cu11 = "11.7.99"
-nvidia-cudnn-cu11 = "8.5.0.96"
+nvidia-cublas-cu11 = {version = "11.10.3.66", markers = "platform_system == \"Linux\""}
+nvidia-cuda-nvrtc-cu11 = {version = "11.7.99", markers = "platform_system == \"Linux\""}
+nvidia-cuda-runtime-cu11 = {version = "11.7.99", markers = "platform_system == \"Linux\""}
+nvidia-cudnn-cu11 = {version = "8.5.0.96", markers = "platform_system == \"Linux\""}
 typing-extensions = "*"
 
 [package.extras]
@@ -4153,30 +4667,30 @@ telegram = ["requests"]
 
 [[package]]
 name = "traitlets"
-version = "5.5.0"
-description = ""
+version = "5.9.0"
+description = "Traitlets Python configuration system"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "traitlets-5.5.0-py3-none-any.whl", hash = "sha256:1201b2c9f76097195989cdf7f65db9897593b0dfd69e4ac96016661bb6f0d30f"},
-    {file = "traitlets-5.5.0.tar.gz", hash = "sha256:b122f9ff2f2f6c1709dab289a05555be011c87828e911c0cf4074b85cb780a79"},
+    {file = "traitlets-5.9.0-py3-none-any.whl", hash = "sha256:9e6ec080259b9a5940c797d58b613b5e31441c2257b87c2e795c5228ae80d2d8"},
+    {file = "traitlets-5.9.0.tar.gz", hash = "sha256:f6cde21a9c68cf756af02035f72d5a723bf607e862e7be33ece505abf4a3bad9"},
 ]
 
 [package.extras]
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
-test = ["pre-commit", "pytest"]
+test = ["argcomplete (>=2.0)", "pre-commit", "pytest", "pytest-mock"]
 
 [[package]]
 name = "trimesh"
-version = "3.21.2"
+version = "3.21.5"
 description = "Import, export, process, analyze and view triangular meshes."
 category = "main"
 optional = true
 python-versions = "*"
 files = [
-    {file = "trimesh-3.21.2-py3-none-any.whl", hash = "sha256:8a575f2ee4dc77fc680aa1545c3503619027c75d09bcc4878d29d5f32e0476ee"},
-    {file = "trimesh-3.21.2.tar.gz", hash = "sha256:5513c4fb540b286cb95bdf626b906e3cdb661ff7a85ee940a52f27f1275049a4"},
+    {file = "trimesh-3.21.5-py3-none-any.whl", hash = "sha256:5ae1ca5e4f4a5f41aa79067a9c39e083e37d7148022bb150cb0e6f89ec614df3"},
+    {file = "trimesh-3.21.5.tar.gz", hash = "sha256:74741bc7f9fcb94b98951db8dc8ec8364a2ef52ac2ca0761c7ba06182ef329be"},
 ]
 
 [package.dependencies]
@@ -4239,38 +4753,38 @@ files = [
 
 [[package]]
 name = "types-pillow"
-version = "9.3.0.1"
+version = "9.4.0.19"
 description = "Typing stubs for Pillow"
 category = "main"
 optional = true
 python-versions = "*"
 files = [
-    {file = "types-Pillow-9.3.0.1.tar.gz", hash = "sha256:f3b7cada3fa496c78d75253c6b1f07a843d625f42e5639b320a72acaff6f7cfb"},
-    {file = "types_Pillow-9.3.0.1-py3-none-any.whl", hash = "sha256:79837755fe9659f29efd1016e9903ac4a500e0c73260483f07296bd6ca47668b"},
+    {file = "types-Pillow-9.4.0.19.tar.gz", hash = "sha256:a04401181979049977e318dae4523ab5ae8246314fc68fcf50b043ac885a5468"},
+    {file = "types_Pillow-9.4.0.19-py3-none-any.whl", hash = "sha256:b55f2508be21e68a39f0a41830f1f1725aba0888e727e2eccd253c78cd5357a5"},
 ]
 
 [[package]]
 name = "types-protobuf"
-version = "3.20.4.5"
+version = "4.22.0.2"
 description = "Typing stubs for protobuf"
 category = "dev"
 optional = false
 python-versions = "*"
 files = [
-    {file = "types-protobuf-3.20.4.5.tar.gz", hash = "sha256:e9b45008d106e1d10cc77a29d2d344b85c0f01e2e643aaccf32f69e9e81b0cdd"},
-    {file = "types_protobuf-3.20.4.5-py3-none-any.whl", hash = "sha256:97af5ce70d890fdb94cb0c906f5a6624ca2fef58bc04e27990a25509e992a950"},
+    {file = "types-protobuf-4.22.0.2.tar.gz", hash = "sha256:031a77403a8952b31869b9ff3883c9a21649dd224ca3673ee4287384e91ea2be"},
+    {file = "types_protobuf-4.22.0.2-py3-none-any.whl", hash = "sha256:51c23400114461ec96aeca718f1dc3e05d6afb4ef6cc0a94f27af760c576a5bf"},
 ]
 
 [[package]]
 name = "types-requests"
-version = "2.28.11.7"
+version = "2.28.11.17"
 description = "Typing stubs for requests"
 category = "main"
 optional = false
 python-versions = "*"
 files = [
-    {file = "types-requests-2.28.11.7.tar.gz", hash = "sha256:0ae38633734990d019b80f5463dfa164ebd3581998ac8435f526da6fe4d598c3"},
-    {file = "types_requests-2.28.11.7-py3-none-any.whl", hash = "sha256:b6a2fca8109f4fdba33052f11ed86102bddb2338519e1827387137fefc66a98b"},
+    {file = "types-requests-2.28.11.17.tar.gz", hash = "sha256:0d580652ce903f643f8c3b494dd01d29367ea57cea0c7ad7f65cf3169092edb0"},
+    {file = "types_requests-2.28.11.17-py3-none-any.whl", hash = "sha256:cc1aba862575019306b2ed134eb1ea994cab1c887a22e18d3383e6dd42e9789b"},
 ]
 
 [package.dependencies]
@@ -4278,26 +4792,26 @@ types-urllib3 = "<1.27"
 
 [[package]]
 name = "types-urllib3"
-version = "1.26.25.4"
+version = "1.26.25.10"
 description = "Typing stubs for urllib3"
 category = "main"
 optional = false
 python-versions = "*"
 files = [
-    {file = "types-urllib3-1.26.25.4.tar.gz", hash = "sha256:eec5556428eec862b1ac578fb69aab3877995a99ffec9e5a12cf7fbd0cc9daee"},
-    {file = "types_urllib3-1.26.25.4-py3-none-any.whl", hash = "sha256:ed6b9e8a8be488796f72306889a06a3fc3cb1aa99af02ab8afb50144d7317e49"},
+    {file = "types-urllib3-1.26.25.10.tar.gz", hash = "sha256:c44881cde9fc8256d05ad6b21f50c4681eb20092552351570ab0a8a0653286d6"},
+    {file = "types_urllib3-1.26.25.10-py3-none-any.whl", hash = "sha256:12c744609d588340a07e45d333bf870069fc8793bcf96bae7a96d4712a42591d"},
 ]
 
 [[package]]
 name = "typing-extensions"
-version = "4.4.0"
+version = "4.5.0"
 description = "Backported and Experimental Type Hints for Python 3.7+"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "typing_extensions-4.4.0-py3-none-any.whl", hash = "sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"},
-    {file = "typing_extensions-4.4.0.tar.gz", hash = "sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa"},
+    {file = "typing_extensions-4.5.0-py3-none-any.whl", hash = "sha256:fb33085c39dd998ac16d1431ebc293a8b3eedd00fd4a32de0ff79002c19511b4"},
+    {file = "typing_extensions-4.5.0.tar.gz", hash = "sha256:5cb5f4a79139d699607b3ef622a1dedafa84e115ab0024e0d9c044a9479ca7cb"},
 ]
 
 [[package]]
@@ -4316,16 +4830,31 @@ files = [
 mypy-extensions = ">=0.3.0"
 typing-extensions = ">=3.7.4"
 
+[[package]]
+name = "uri-template"
+version = "1.2.0"
+description = "RFC 6570 URI Template Processor"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "uri_template-1.2.0-py3-none-any.whl", hash = "sha256:f1699c77b73b925cf4937eae31ab282a86dc885c333f2e942513f08f691fc7db"},
+    {file = "uri_template-1.2.0.tar.gz", hash = "sha256:934e4d09d108b70eb8a24410af8615294d09d279ce0e7cbcdaef1bd21f932b06"},
+]
+
+[package.extras]
+dev = ["flake8 (<4.0.0)", "flake8-annotations", "flake8-bugbear", "flake8-commas", "flake8-comprehensions", "flake8-continuation", "flake8-datetimez", "flake8-docstrings", "flake8-import-order", "flake8-literal", "flake8-noqa", "flake8-requirements", "flake8-type-annotations", "flake8-use-fstring", "mypy", "pep8-naming"]
+
 [[package]]
 name = "urllib3"
-version = "1.26.14"
+version = "1.26.15"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
 files = [
-    {file = "urllib3-1.26.14-py2.py3-none-any.whl", hash = "sha256:75edcdc2f7d85b137124a6c3c9fc3933cdeaa12ecb9a6a959f22797a0feca7e1"},
-    {file = "urllib3-1.26.14.tar.gz", hash = "sha256:076907bf8fd355cde77728471316625a4d2f7e713c125f51953bb5b3eecf4f72"},
+    {file = "urllib3-1.26.15-py2.py3-none-any.whl", hash = "sha256:aa751d169e23c7479ce47a0cb0da579e3ede798f994f5816a74e4f4500dcea42"},
+    {file = "urllib3-1.26.15.tar.gz", hash = "sha256:8a388717b9476f934a21484e8c8e61875ab60644d29b9b39e11e4b9dc1c6b305"},
 ]
 
 [package.extras]
@@ -4335,14 +4864,14 @@ socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
 [[package]]
 name = "uvicorn"
-version = "0.19.0"
+version = "0.21.1"
 description = "The lightning-fast ASGI server."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "uvicorn-0.19.0-py3-none-any.whl", hash = "sha256:cc277f7e73435748e69e075a721841f7c4a95dba06d12a72fe9874acced16f6f"},
-    {file = "uvicorn-0.19.0.tar.gz", hash = "sha256:cf538f3018536edb1f4a826311137ab4944ed741d52aeb98846f52215de57f25"},
+    {file = "uvicorn-0.21.1-py3-none-any.whl", hash = "sha256:e47cac98a6da10cd41e6fd036d472c6f58ede6c5dbee3dbee3ef7a100ed97742"},
+    {file = "uvicorn-0.21.1.tar.gz", hash = "sha256:0fac9cb342ba099e0d582966005f3fdba5b0290579fed4a6266dc702ca7bb032"},
 ]
 
 [package.dependencies]
@@ -4351,7 +4880,7 @@ h11 = ">=0.8"
 typing-extensions = {version = "*", markers = "python_version < \"3.8\""}
 
 [package.extras]
-standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.0)"]
+standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
 
 [[package]]
 name = "validators"
@@ -4372,62 +4901,61 @@ test = ["flake8 (>=2.4.0)", "isort (>=4.2.2)", "pytest (>=2.2.3)"]
 
 [[package]]
 name = "virtualenv"
-version = "20.16.7"
+version = "20.21.0"
 description = "Virtual Python Environment builder"
 category = "dev"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
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+    {file = "virtualenv-20.21.0-py3-none-any.whl", hash = "sha256:31712f8f2a17bd06234fa97fdf19609e789dd4e3e4bf108c3da71d710651adbc"},
+    {file = "virtualenv-20.21.0.tar.gz", hash = "sha256:f50e3e60f990a0757c9b68333c9fdaa72d7188caa417f96af9e52407831a3b68"},
 ]
 
 [package.dependencies]
 distlib = ">=0.3.6,<1"
 filelock = ">=3.4.1,<4"
 importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.8\""}
-platformdirs = ">=2.4,<3"
+platformdirs = ">=2.4,<4"
 
 [package.extras]
-docs = ["proselint (>=0.13)", "sphinx (>=5.3)", "sphinx-argparse (>=0.3.2)", "sphinx-rtd-theme (>=1)", "towncrier (>=22.8)"]
-testing = ["coverage (>=6.2)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=21.3)", "pytest (>=7.0.1)", "pytest-env (>=0.6.2)", "pytest-freezegun (>=0.4.2)", "pytest-mock (>=3.6.1)", "pytest-randomly (>=3.10.3)", "pytest-timeout (>=2.1)"]
+docs = ["furo (>=2022.12.7)", "proselint (>=0.13)", "sphinx (>=6.1.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=22.12)"]
+test = ["covdefaults (>=2.2.2)", "coverage (>=7.1)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23)", "pytest (>=7.2.1)", "pytest-env (>=0.8.1)", "pytest-freezegun (>=0.4.2)", "pytest-mock (>=3.10)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)"]
 
 [[package]]
 name = "watchdog"
-version = "2.3.1"
+version = "3.0.0"
 description = "Filesystem events monitoring"
 category = "dev"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
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@@ -4450,14 +4978,14 @@ bracex = ">=2.1.1"
 
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 validators = ">=0.18.2,<=0.21.0"
 
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+tests = ["pytest", "pytest-cov"]
+
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 version = "0.5.1"
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 [package.extras]
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+test = ["pytest (>=6.0.0)"]
 
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+    {file = "y_py-0.5.9-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9513ae81fcc805671ae134c4c7421ca322acf92ce8b33817e1775ea8c0176973"},
+    {file = "y_py-0.5.9.tar.gz", hash = "sha256:50cfa0532bcee27edb8c64743b49570e28bb76a00cd384ead1d84b6f052d9368"},
+]
+
 [[package]]
 name = "yarl"
 version = "1.8.2"
@@ -4719,33 +5339,54 @@ idna = ">=2.0"
 multidict = ">=4.0"
 typing-extensions = {version = ">=3.7.4", markers = "python_version < \"3.8\""}
 
+[[package]]
+name = "ypy-websocket"
+version = "0.8.2"
+description = "WebSocket connector for Ypy"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "ypy_websocket-0.8.2-py3-none-any.whl", hash = "sha256:9049d5a7d61c26c2b5a39757c9ffcbe2274bf3553adeea8de7fe1c04671d4145"},
+    {file = "ypy_websocket-0.8.2.tar.gz", hash = "sha256:491b2cc4271df4dde9be83017c15f4532b597dc43148472eb20c5aeb838a5b46"},
+]
+
+[package.dependencies]
+aiofiles = ">=22.1.0,<23"
+aiosqlite = ">=0.17.0,<1"
+y-py = ">=0.5.3,<0.6.0"
+
+[package.extras]
+test = ["mypy", "pre-commit", "pytest", "pytest-asyncio", "websockets (>=10.0)"]
+
 [[package]]
 name = "zipp"
-version = "3.10.0"
+version = "3.15.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "zipp-3.10.0-py3-none-any.whl", hash = "sha256:4fcb6f278987a6605757302a6e40e896257570d11c51628968ccb2a47e80c6c1"},
-    {file = "zipp-3.10.0.tar.gz", hash = "sha256:7a7262fd930bd3e36c50b9a64897aec3fafff3dfdeec9623ae22b40e93f99bb8"},
+    {file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"},
+    {file = "zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
-testing = ["flake8 (<5)", "func-timeout", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
 
 [extras]
 audio = ["pydub"]
 aws = ["smart-open"]
-elasticsearch = ["elastic-transport", "elasticsearch"]
-full = ["av", "lz4", "pandas", "pillow", "protobuf", "pydub", "trimesh", "types-pillow"]
+elasticsearch = ["elasticsearch", "elastic-transport"]
+full = ["protobuf", "lz4", "pandas", "pillow", "types-pillow", "av", "pydub", "trimesh"]
 hnswlib = ["hnswlib"]
 image = ["pillow", "types-pillow"]
 jac = ["jina-hubble-sdk"]
 mesh = ["trimesh"]
 pandas = ["pandas"]
-proto = ["lz4", "protobuf"]
+proto = ["protobuf", "lz4"]
+qdrant = ["qdrant-client"]
 torch = ["torch"]
 video = ["av"]
 web = ["fastapi"]
@@ -4753,4 +5394,4 @@ web = ["fastapi"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.7,<4.0"
-content-hash = "5a07acb92ae45bc42e49e68af897444874d6facd4ed81af4bd9e8d37d7737037"
+content-hash = "aa40883efd1be9aa2ff566b5dfbabd06c19c94ef3085772e48555e4234bbb415"
diff --git a/pyproject.toml b/pyproject.toml
index 2b5bc301296..45bc332f556 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -29,6 +29,7 @@ elasticsearch = {version = ">=7.10.1", optional = true }
 smart-open = {version = ">=6.3.0", extras = ["s3"], optional = true}
 jina-hubble-sdk = {version = ">=0.34.0", optional = true}
 elastic-transport = {version ="^8.4.0", optional = true }
+qdrant-client = {version = ">=1.1.4", python = "<3.12", optional = true }
 
 [tool.poetry.extras]
 proto = ["protobuf", "lz4"]
@@ -43,6 +44,7 @@ jac = ["jina-hubble-sdk"]
 aws = ["smart-open"]
 torch = ["torch"]
 web = ["fastapi"]
+qdrant = ["qdrant-client"]
 
 # all
 full = ["protobuf", "lz4", "pandas", "pillow", "types-pillow", "av", "pydub", "trimesh"]
diff --git a/tests/index/qdrant/__init__.py b/tests/index/qdrant/__init__.py
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/tests/index/qdrant/fixtures.py b/tests/index/qdrant/fixtures.py
new file mode 100644
index 00000000000..33bfd862101
--- /dev/null
+++ b/tests/index/qdrant/fixtures.py
@@ -0,0 +1,19 @@
+import uuid
+
+import pytest
+import qdrant_client
+
+from docarray.index import QdrantDocumentIndex
+
+
+@pytest.fixture
+def qdrant() -> qdrant_client.QdrantClient:
+    """This fixture takes care of removing the collection before each test case"""
+    client = qdrant_client.QdrantClient(path='/tmp/qdrant-local')
+    client.delete_collection(collection_name='documents')
+    return client
+
+
+@pytest.fixture
+def qdrant_config(qdrant) -> QdrantDocumentIndex.DBConfig:
+    return QdrantDocumentIndex.DBConfig(path=qdrant._client.location)
diff --git a/tests/index/qdrant/test_filter.py b/tests/index/qdrant/test_filter.py
new file mode 100644
index 00000000000..a4278ef62d9
--- /dev/null
+++ b/tests/index/qdrant/test_filter.py
@@ -0,0 +1,42 @@
+import pytest
+import qdrant_client
+import numpy as np
+
+from pydantic import Field
+
+from docarray import BaseDoc
+from docarray.index import QdrantDocumentIndex
+from docarray.typing import NdArray
+
+from qdrant_client.http import models as rest
+
+from .fixtures import qdrant_config, qdrant  # ignore: type[import]
+
+
+class SimpleDoc(BaseDoc):
+    embedding: NdArray[10] = Field(dim=1000)  # type: ignore[valid-type]
+    number: int
+
+
+def test_filter_range(qdrant_config, qdrant):
+    class SimpleSchema(BaseDoc):
+        embedding: NdArray[10] = Field(space='cosine')  # type: ignore[valid-type]
+        number: int
+
+    store = QdrantDocumentIndex[SimpleSchema](db_config=qdrant_config)
+
+    index_docs = [
+        SimpleDoc(
+            embedding=np.zeros(10),
+            number=i,
+        )
+        for i in range(10)
+    ]
+    store.index(index_docs)
+
+    filter_query = rest.Filter(
+        must=[rest.FieldCondition(key='number', range=rest.Range(gte=5, lte=7))]
+    )
+    docs = store.filter(filter_query, limit=5)
+
+    assert len(docs) == 3
diff --git a/tests/index/qdrant/test_find.py b/tests/index/qdrant/test_find.py
new file mode 100644
index 00000000000..c508b0de9fe
--- /dev/null
+++ b/tests/index/qdrant/test_find.py
@@ -0,0 +1,224 @@
+import numpy as np
+import pytest
+from pydantic import Field
+
+from docarray import BaseDoc, DocList
+from docarray.index import QdrantDocumentIndex
+from docarray.typing import NdArray, TorchTensor
+
+from .fixtures import qdrant_config, qdrant
+
+pytestmark = [pytest.mark.slow, pytest.mark.index]
+
+
+class SimpleDoc(BaseDoc):
+    tens: NdArray[10] = Field(dim=1000)  # type: ignore[valid-type]
+
+
+class FlatDoc(BaseDoc):
+    tens_one: NdArray = Field(dim=10)
+    tens_two: NdArray = Field(dim=50)
+
+
+class NestedDoc(BaseDoc):
+    d: SimpleDoc
+
+
+class DeepNestedDoc(BaseDoc):
+    d: NestedDoc
+
+
+class TorchDoc(BaseDoc):
+    tens: TorchTensor[10]  # type: ignore[valid-type]
+
+
+@pytest.mark.parametrize('space', ['cosine', 'l2', 'ip'])
+def test_find_simple_schema(qdrant_config, space, qdrant):
+    class SimpleSchema(BaseDoc):
+        tens: NdArray[10] = Field(space=space)  # type: ignore[valid-type]
+
+    store = QdrantDocumentIndex[SimpleSchema](db_config=qdrant_config)
+
+    index_docs = [SimpleDoc(tens=np.zeros(10)) for _ in range(10)]
+    index_docs.append(SimpleDoc(tens=np.ones(10)))
+    store.index(index_docs)
+
+    query = SimpleDoc(tens=np.ones(10))
+
+    docs, scores = store.find(query, search_field='tens', limit=5)
+
+    assert len(docs) == 5
+    assert len(scores) == 5
+
+
+@pytest.mark.parametrize('space', ['cosine', 'l2', 'ip'])
+def test_find_torch(qdrant_config, space, qdrant):
+    store = QdrantDocumentIndex[TorchDoc](db_config=qdrant_config)
+
+    index_docs = [TorchDoc(tens=np.zeros(10)) for _ in range(10)]
+    index_docs.append(TorchDoc(tens=np.ones(10)))
+    store.index(index_docs)
+
+    for doc in index_docs:
+        assert isinstance(doc.tens, TorchTensor)
+
+    query = TorchDoc(tens=np.ones(10))
+
+    result_docs, scores = store.find(query, search_field='tens', limit=5)
+
+    assert len(result_docs) == 5
+    assert len(scores) == 5
+    for doc in result_docs:
+        assert isinstance(doc.tens, TorchTensor)
+
+
+@pytest.mark.tensorflow
+@pytest.mark.parametrize('space', ['cosine', 'l2', 'ip'])
+def test_find_tensorflow(qdrant_config, space, qdrant):
+    from docarray.typing import TensorFlowTensor
+
+    class TfDoc(BaseDoc):
+        tens: TensorFlowTensor[10]  # type: ignore[valid-type]
+
+    store = QdrantDocumentIndex[TfDoc](db_config=qdrant_config)
+
+    index_docs = [
+        TfDoc(tens=np.random.rand(10).astype(dtype=np.float32)) for _ in range(10)
+    ]
+    store.index(index_docs)
+
+    for doc in index_docs:
+        assert isinstance(doc.tens, TensorFlowTensor)
+
+    query = index_docs[-1]
+    docs, scores = store.find(query, search_field='tens', limit=5)
+
+    assert len(docs) == 5
+    assert len(scores) == 5
+    for doc in docs:
+        assert isinstance(doc.tens, TensorFlowTensor)
+
+    assert docs[0].id == index_docs[-1].id
+
+
+@pytest.mark.parametrize('space', ['cosine', 'l2', 'ip'])
+def test_find_flat_schema(qdrant_config, space, qdrant):
+    class FlatSchema(BaseDoc):
+        tens_one: NdArray = Field(dim=10, space=space)
+        tens_two: NdArray = Field(dim=50, space=space)
+
+    store = QdrantDocumentIndex[FlatSchema](db_config=qdrant_config)
+
+    index_docs = [
+        FlatDoc(tens_one=np.zeros(10), tens_two=np.zeros(50)) for _ in range(10)
+    ]
+    index_docs.append(FlatDoc(tens_one=np.zeros(10), tens_two=np.ones(50)))
+    index_docs.append(FlatDoc(tens_one=np.ones(10), tens_two=np.zeros(50)))
+    store.index(index_docs)
+
+    query = FlatDoc(tens_one=np.ones(10), tens_two=np.ones(50))
+
+    # find on tens_one
+    docs, scores = store.find(query, search_field='tens_one', limit=5)
+    assert len(docs) == 5
+    assert len(scores) == 5
+
+    # find on tens_two
+    docs, scores = store.find(query, search_field='tens_two', limit=5)
+    assert len(docs) == 5
+    assert len(scores) == 5
+
+
+@pytest.mark.parametrize('space', ['cosine', 'l2', 'ip'])
+def test_find_nested_schema(qdrant_config, space, qdrant):
+    class SimpleDoc(BaseDoc):
+        tens: NdArray[10] = Field(space=space)  # type: ignore[valid-type]
+
+    class NestedDoc(BaseDoc):
+        d: SimpleDoc
+        tens: NdArray[10] = Field(space=space)  # type: ignore[valid-type]
+
+    class DeepNestedDoc(BaseDoc):
+        d: NestedDoc
+        tens: NdArray = Field(space=space, dim=10)
+
+    store = QdrantDocumentIndex[DeepNestedDoc](db_config=qdrant_config)
+
+    index_docs = [
+        DeepNestedDoc(
+            d=NestedDoc(d=SimpleDoc(tens=np.zeros(10)), tens=np.zeros(10)),
+            tens=np.zeros(10),
+        )
+        for _ in range(10)
+    ]
+    index_docs.append(
+        DeepNestedDoc(
+            d=NestedDoc(d=SimpleDoc(tens=np.ones(10)), tens=np.zeros(10)),
+            tens=np.zeros(10),
+        )
+    )
+    index_docs.append(
+        DeepNestedDoc(
+            d=NestedDoc(d=SimpleDoc(tens=np.zeros(10)), tens=np.ones(10)),
+            tens=np.zeros(10),
+        )
+    )
+    index_docs.append(
+        DeepNestedDoc(
+            d=NestedDoc(d=SimpleDoc(tens=np.zeros(10)), tens=np.zeros(10)),
+            tens=np.ones(10),
+        )
+    )
+    store.index(index_docs)
+
+    query = DeepNestedDoc(
+        d=NestedDoc(d=SimpleDoc(tens=np.ones(10)), tens=np.ones(10)), tens=np.ones(10)
+    )
+
+    # find on root level
+    docs, scores = store.find(query, search_field='tens', limit=5)
+    assert len(docs) == 5
+    assert len(scores) == 5
+
+    # find on first nesting level
+    docs, scores = store.find(query, search_field='d__tens', limit=5)
+    assert len(docs) == 5
+    assert len(scores) == 5
+
+    # find on second nesting level
+    docs, scores = store.find(query, search_field='d__d__tens', limit=5)
+    assert len(docs) == 5
+    assert len(scores) == 5
+
+
+@pytest.mark.parametrize('space', ['cosine', 'l2', 'ip'])
+def test_find_batched(qdrant_config, space, qdrant):
+    class SimpleSchema(BaseDoc):
+        tens: NdArray[10] = Field(space=space)  # type: ignore[valid-type]
+
+    store = QdrantDocumentIndex[SimpleSchema](db_config=qdrant_config)
+
+    index_docs = [SimpleDoc(tens=vector) for vector in np.identity(10)]
+    store.index(index_docs)
+
+    queries = DocList[SimpleDoc](
+        [
+            SimpleDoc(
+                tens=np.array([0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0])
+            ),
+            SimpleDoc(
+                tens=np.array([0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1])
+            ),
+        ]
+    )
+
+    docs, scores = store.find_batched(queries, search_field='tens', limit=1)
+
+    assert len(docs) == 2
+    assert len(docs[0]) == 1
+    assert len(docs[1]) == 1
+    assert len(scores) == 2
+    assert len(scores[0]) == 1
+    assert len(scores[1]) == 1
+    assert docs[0][0].id == index_docs[0].id
+    assert docs[1][0].id == index_docs[-1].id
diff --git a/tests/index/qdrant/test_index_get_del.py b/tests/index/qdrant/test_index_get_del.py
new file mode 100644
index 00000000000..3ddd060817f
--- /dev/null
+++ b/tests/index/qdrant/test_index_get_del.py
@@ -0,0 +1,240 @@
+from typing import Optional
+
+import numpy as np
+import pytest
+import torch
+from pydantic import Field
+from scipy.spatial.distance import cosine  # type: ignore[import]
+
+from docarray import BaseDoc, DocList
+from docarray.documents import ImageDoc, TextDoc
+from docarray.index import QdrantDocumentIndex
+from docarray.typing import NdArray, NdArrayEmbedding, TorchTensor
+
+from .fixtures import qdrant_config, qdrant  # ignore: type[import]
+
+pytestmark = [pytest.mark.slow, pytest.mark.index]
+
+
+class SimpleDoc(BaseDoc):
+    tens: NdArray[10] = Field(dim=1000)  # type: ignore[valid-type]
+
+
+class FlatDoc(BaseDoc):
+    tens_one: NdArray = Field(dim=10)
+    tens_two: NdArray = Field(dim=50)
+
+
+class NestedDoc(BaseDoc):
+    d: SimpleDoc
+
+
+class DeepNestedDoc(BaseDoc):
+    d: NestedDoc
+
+
+class TorchDoc(BaseDoc):
+    tens: TorchTensor[10]  # type: ignore[valid-type]
+
+
+@pytest.fixture
+def ten_simple_docs():
+    return [SimpleDoc(tens=np.random.randn(10)) for _ in range(10)]
+
+
+@pytest.fixture
+def ten_flat_docs():
+    return [
+        FlatDoc(tens_one=np.random.randn(10), tens_two=np.random.randn(50))
+        for _ in range(10)
+    ]
+
+
+@pytest.fixture
+def ten_nested_docs():
+    return [NestedDoc(d=SimpleDoc(tens=np.random.randn(10))) for _ in range(10)]
+
+
+@pytest.mark.parametrize('use_docarray', [True, False])
+def test_index_simple_schema(ten_simple_docs, qdrant_config, use_docarray, qdrant):
+    store = QdrantDocumentIndex[SimpleDoc](db_config=qdrant_config)
+    if use_docarray:
+        ten_simple_docs = DocList[SimpleDoc](ten_simple_docs)
+
+    store.index(ten_simple_docs)
+    assert store.num_docs() == 10
+
+
+@pytest.mark.parametrize('use_docarray', [True, False])
+def test_index_flat_schema(ten_flat_docs, qdrant_config, use_docarray, qdrant):
+    store = QdrantDocumentIndex[FlatDoc](db_config=qdrant_config)
+    if use_docarray:
+        ten_flat_docs = DocList[FlatDoc](ten_flat_docs)
+
+    store.index(ten_flat_docs)
+    assert store.num_docs() == 10
+
+
+@pytest.mark.parametrize('use_docarray', [True, False])
+def test_index_nested_schema(ten_nested_docs, qdrant_config, use_docarray, qdrant):
+    store = QdrantDocumentIndex[NestedDoc](db_config=qdrant_config)
+    if use_docarray:
+        ten_nested_docs = DocList[NestedDoc](ten_nested_docs)
+
+    store.index(ten_nested_docs)
+    assert store.num_docs() == 10
+
+
+def test_index_torch(qdrant_config, qdrant):
+    docs = [TorchDoc(tens=np.random.randn(10)) for _ in range(10)]
+    assert isinstance(docs[0].tens, torch.Tensor)
+    assert isinstance(docs[0].tens, TorchTensor)
+
+    store = QdrantDocumentIndex[TorchDoc](db_config=qdrant_config)
+
+    store.index(docs)
+    assert store.num_docs() == 10
+
+
+@pytest.mark.skip('Qdrant does not support storing image tensors yet')
+def test_index_builtin_docs(qdrant_config, qdrant):
+    # TextDoc
+    class TextSchema(TextDoc):
+        embedding: Optional[NdArrayEmbedding] = Field(dim=10)
+
+    store = QdrantDocumentIndex[TextSchema](db_config=qdrant_config)
+
+    store.index(
+        DocList[TextDoc](
+            [TextDoc(embedding=np.random.randn(10), text=f'{i}') for i in range(10)]
+        )
+    )
+    assert store.num_docs() == 10
+
+    # ImageDoc
+    class ImageSchema(ImageDoc):
+        embedding: Optional[NdArrayEmbedding] = Field(dim=10)
+
+    store = QdrantDocumentIndex[ImageSchema](collection_name='images')  # type: ignore[assignment]
+
+    store.index(
+        DocList[ImageDoc](
+            [
+                ImageDoc(
+                    embedding=np.random.randn(10), tensor=np.random.randn(3, 224, 224)
+                )
+                for _ in range(10)
+            ]
+        )
+    )
+    assert store.num_docs() == 10
+
+
+def test_get_key_error(
+    ten_simple_docs, ten_flat_docs, ten_nested_docs, qdrant_config, qdrant
+):
+    store = QdrantDocumentIndex[SimpleDoc](db_config=qdrant_config)
+    store.index(ten_simple_docs)
+
+    with pytest.raises(KeyError):
+        store['not_a_real_id']
+
+
+def test_del_single(
+    ten_simple_docs, ten_flat_docs, ten_nested_docs, qdrant_config, qdrant
+):
+    store = QdrantDocumentIndex[SimpleDoc](db_config=qdrant_config)
+    store.index(ten_simple_docs)
+    # delete once
+    assert store.num_docs() == 10
+    del store[ten_simple_docs[0].id]
+    assert store.num_docs() == 9
+    for i, d in enumerate(ten_simple_docs):
+        id_ = d.id
+        if i == 0:  # deleted
+            with pytest.raises(KeyError):
+                store[id_]
+        else:
+            assert store[id_].id == id_
+    # delete again
+    del store[ten_simple_docs[3].id]
+    assert store.num_docs() == 8
+    for i, d in enumerate(ten_simple_docs):
+        id_ = d.id
+        if i in (0, 3):  # deleted
+            with pytest.raises(KeyError):
+                store[id_]
+        else:
+            assert store[id_].id == id_
+
+
+def test_del_multiple(
+    ten_simple_docs, ten_flat_docs, ten_nested_docs, qdrant_config, qdrant
+):
+    docs_to_del_idx = [0, 2, 4, 6, 8]
+
+    store = QdrantDocumentIndex[SimpleDoc](db_config=qdrant_config)
+    store.index(ten_simple_docs)
+
+    assert store.num_docs() == 10
+    docs_to_del = [ten_simple_docs[i] for i in docs_to_del_idx]
+    ids_to_del = [d.id for d in docs_to_del]
+    del store[ids_to_del]
+    for i, doc in enumerate(ten_simple_docs):
+        if i in docs_to_del_idx:
+            with pytest.raises(KeyError):
+                store[doc.id]
+        else:
+            assert store[doc.id].id == doc.id
+
+
+def test_del_key_error(
+    ten_simple_docs, ten_flat_docs, ten_nested_docs, qdrant_config, qdrant
+):
+    store = QdrantDocumentIndex[SimpleDoc](db_config=qdrant_config)
+    store.index(ten_simple_docs)
+
+    with pytest.raises(KeyError):
+        del store['not_a_real_id']
+
+
+def test_num_docs(ten_simple_docs, qdrant_config, qdrant):
+    store = QdrantDocumentIndex[SimpleDoc](db_config=qdrant_config)
+    store.index(ten_simple_docs)
+
+    assert store.num_docs() == 10
+
+    del store[ten_simple_docs[0].id]
+    assert store.num_docs() == 9
+
+    del store[ten_simple_docs[3].id, ten_simple_docs[5].id]
+    assert store.num_docs() == 7
+
+    more_docs = [SimpleDoc(tens=np.random.rand(10)) for _ in range(5)]
+    store.index(more_docs)
+    assert store.num_docs() == 12
+
+    del store[more_docs[2].id, ten_simple_docs[7].id]  # type: ignore[arg-type]
+    assert store.num_docs() == 10
+
+
+def test_multimodal_doc(qdrant_config, qdrant):
+    class MyMultiModalDoc(BaseDoc):
+        image: ImageDoc
+        text: TextDoc
+
+    store = QdrantDocumentIndex[MyMultiModalDoc](db_config=qdrant_config)
+
+    doc = [
+        MyMultiModalDoc(
+            image=ImageDoc(embedding=np.random.randn(128)), text=TextDoc(text='hello')
+        )
+    ]
+    store.index(doc)
+
+    id_ = doc[0].id
+    assert store[id_].id == id_  # type: ignore[index]
+    assert cosine(store[id_].image.embedding, doc[0].image.embedding) == pytest.approx(
+        0.0
+    )
+    assert store[id_].text.text == doc[0].text.text
diff --git a/tests/index/qdrant/test_persist_data.py b/tests/index/qdrant/test_persist_data.py
new file mode 100644
index 00000000000..0255b78c120
--- /dev/null
+++ b/tests/index/qdrant/test_persist_data.py
@@ -0,0 +1,82 @@
+import numpy as np
+import pytest
+from pydantic import Field
+
+from docarray import BaseDoc
+from docarray.index import QdrantDocumentIndex
+from docarray.typing import NdArray
+
+from .fixtures import qdrant_config, qdrant
+
+pytestmark = [pytest.mark.slow, pytest.mark.index]
+
+
+class SimpleDoc(BaseDoc):
+    tens: NdArray[10] = Field(dim=1000)  # type: ignore[valid-type]
+
+
+class NestedDoc(BaseDoc):
+    d: SimpleDoc
+    tens: NdArray[50]  # type: ignore[valid-type]
+
+
+def test_persist_and_restore(qdrant_config, qdrant):
+    query = SimpleDoc(tens=np.random.random((10,)))
+
+    # create index
+    store = QdrantDocumentIndex[SimpleDoc](db_config=qdrant_config)
+    store.index([SimpleDoc(tens=np.random.random((10,))) for _ in range(10)])
+    assert store.num_docs() == 10
+    find_results_before = store.find(query, search_field='tens', limit=5)
+
+    # delete and restore
+    del store
+    store = QdrantDocumentIndex[SimpleDoc](db_config=qdrant_config)
+    assert store.num_docs() == 10
+    find_results_after = store.find(query, search_field='tens', limit=5)
+    for doc_before, doc_after in zip(find_results_before[0], find_results_after[0]):
+        assert doc_before.id == doc_after.id
+        assert doc_before.tens == pytest.approx(doc_after.tens)
+
+    # add new data
+    store.index([SimpleDoc(tens=np.random.random((10,))) for _ in range(5)])
+    assert store.num_docs() == 15
+
+
+def test_persist_and_restore_nested(qdrant_config, qdrant):
+    query = NestedDoc(
+        tens=np.random.random((50,)), d=SimpleDoc(tens=np.random.random((10,)))
+    )
+
+    # create index
+    store = QdrantDocumentIndex[NestedDoc](db_config=qdrant_config)
+    store.index(
+        [
+            NestedDoc(
+                tens=np.random.random((50,)), d=SimpleDoc(tens=np.random.random((10,)))
+            )
+            for _ in range(10)
+        ]
+    )
+    assert store.num_docs() == 10
+    find_results_before = store.find(query, search_field='d__tens', limit=5)
+
+    # delete and restore
+    del store
+    store = QdrantDocumentIndex[NestedDoc](db_config=qdrant_config)
+    assert store.num_docs() == 10
+    find_results_after = store.find(query, search_field='d__tens', limit=5)
+    for doc_before, doc_after in zip(find_results_before[0], find_results_after[0]):
+        assert doc_before.id == doc_after.id
+        assert doc_before.tens == pytest.approx(doc_after.tens)
+
+    # delete and restore
+    store.index(
+        [
+            NestedDoc(
+                tens=np.random.random((50,)), d=SimpleDoc(tens=np.random.random((10,)))
+            )
+            for _ in range(5)
+        ]
+    )
+    assert store.num_docs() == 15
diff --git a/tests/index/qdrant/test_query_builder.py b/tests/index/qdrant/test_query_builder.py
new file mode 100644
index 00000000000..ff3ae109879
--- /dev/null
+++ b/tests/index/qdrant/test_query_builder.py
@@ -0,0 +1,128 @@
+import pytest
+import numpy as np
+
+from pydantic import Field
+
+from docarray import BaseDoc
+from docarray.index import QdrantDocumentIndex
+from docarray.typing import NdArray
+
+from qdrant_client.http import models as rest
+
+from .fixtures import qdrant_config, qdrant
+
+
+class SimpleDoc(BaseDoc):
+    embedding: NdArray[10] = Field(dim=1000)  # type: ignore[valid-type]
+    number: int
+    text: str
+
+
+class SimpleSchema(BaseDoc):
+    embedding: NdArray[10] = Field(space='cosine')  # type: ignore[valid-type]
+    number: int
+    text: str
+
+
+def test_find_uses_provided_vector(qdrant_config, qdrant):
+    store = QdrantDocumentIndex[SimpleSchema](db_config=qdrant_config)
+
+    query = store.build_query().find(np.ones(10), 'embedding').build(7)  # type: ignore[attr-defined]
+
+    assert query.vector_field == 'embedding'
+    assert np.allclose(query.vector_query, np.ones(10))
+    assert query.filter is None
+    assert query.limit == 7
+
+
+def test_multiple_find_returns_averaged_vector(qdrant_config, qdrant):
+    store = QdrantDocumentIndex[SimpleSchema](db_config=qdrant_config)
+
+    query = (
+        store.build_query()  # type: ignore[attr-defined]
+        .find(np.ones(10), 'embedding')
+        .find(np.zeros(10), 'embedding')
+        .build(5)
+    )
+
+    assert query.vector_field == 'embedding'
+    assert np.allclose(query.vector_query, np.array([0.5] * 10))
+    assert query.filter is None
+    assert query.limit == 5
+
+
+def test_multiple_find_different_field_raises_error(qdrant_config, qdrant):
+    store = QdrantDocumentIndex[SimpleSchema](db_config=qdrant_config)
+
+    with pytest.raises(ValueError):
+        (
+            store.build_query()  # type: ignore[attr-defined]
+            .find(np.ones(10), 'embedding_1')
+            .find(np.zeros(10), 'embedding_2')
+        )
+
+
+def test_filter_passes_qdrant_filter(qdrant_config, qdrant):
+    store = QdrantDocumentIndex[SimpleSchema](db_config=qdrant_config)
+
+    qdrant_filter = rest.Filter(should=[rest.HasIdCondition(has_id=[1, 2, 3])])
+    query = store.build_query().filter(qdrant_filter).build(11)  # type: ignore[attr-defined]
+
+    assert query.vector_field is None
+    assert query.vector_query is None
+    assert query.filter == rest.Filter(must=[qdrant_filter])
+    assert query.limit == 11
+
+
+def test_text_search_creates_qdrant_filter(qdrant_config, qdrant):
+    store = QdrantDocumentIndex[SimpleSchema](db_config=qdrant_config)
+
+    query = store.build_query().text_search('lorem ipsum', 'text').build(3)  # type: ignore[attr-defined]
+
+    assert query.vector_field is None
+    assert query.vector_query is None
+    assert isinstance(query.filter, rest.Filter)
+    assert len(query.filter.must) == 1  # type: ignore[arg-type]
+    assert isinstance(query.filter.must[0], rest.FieldCondition)  # type: ignore[index]
+    assert query.filter.must[0].key == 'text'  # type: ignore[index]
+    assert query.filter.must[0].match.text == 'lorem ipsum'  # type: ignore[index, union-attr]
+    assert query.limit == 3
+
+
+def test_query_builder_execute_query_find_text_search_filter(qdrant_config, qdrant):
+    store = QdrantDocumentIndex[SimpleSchema](db_config=qdrant_config)
+
+    index_docs = [
+        SimpleDoc(
+            embedding=np.ones(10),
+            number=i,
+            text=f'Lorem ipsum {i}',
+        )
+        for i in range(10, 30, 2)
+    ]
+    store.index(index_docs)
+
+    find_query = np.ones(10)
+    text_search_query = 'ipsum 1'
+    filter_query = rest.Filter(
+        must=[
+            rest.FieldCondition(
+                key='number',
+                range=rest.Range(
+                    gte=12,
+                    lt=18,
+                ),
+            )
+        ]
+    )
+    query = (
+        store.build_query()  # type: ignore[attr-defined]
+        .find(find_query, search_field='embedding')
+        .text_search(text_search_query, search_field='text')
+        .filter(filter_query)
+        .build(limit=5)
+    )
+    docs = store.execute_query(query)
+
+    assert len(docs) == 3
+    assert all(x in docs.number for x in [12, 14, 16])
diff --git a/tests/index/qdrant/test_raw_query.py b/tests/index/qdrant/test_raw_query.py
new file mode 100644
index 00000000000..7bc8ffd7e0c
--- /dev/null
+++ b/tests/index/qdrant/test_raw_query.py
@@ -0,0 +1,82 @@
+import numpy as np
+
+from typing import Optional, Sequence
+
+import pytest
+from pydantic import Field
+
+from docarray import BaseDoc
+from docarray.index import QdrantDocumentIndex
+from docarray.typing import NdArray
+
+from .fixtures import qdrant_config, qdrant
+
+
+class SimpleDoc(BaseDoc):
+    embedding: NdArray[4] = Field(space='cosine')  # type: ignore[valid-type]
+    text: Optional[str]
+
+
+@pytest.fixture
+def index_docs() -> Sequence[SimpleDoc]:
+    index_docs = [SimpleDoc(embedding=np.zeros(4), text=f'Test {i}') for i in range(10)]
+    return index_docs
+
+
+@pytest.mark.parametrize('limit', [1, 5, 10])
+def test_dict_limit(qdrant_config, qdrant, index_docs, limit):
+    store = QdrantDocumentIndex[SimpleDoc](db_config=qdrant_config)
+    store.index(index_docs)
+
+    # Search test
+    query = {
+        'vector': ('embedding', [1.0, 0.0, 0.0, 0.0]),
+        'limit': limit,
+        'with_vectors': True,
+    }
+
+    points = store.execute_query(query=query)
+    assert points is not None
+    assert len(points) == limit
+
+    # Scroll test
+    query = {
+        'limit': limit,
+        'with_vectors': True,
+    }
+
+    points = store.execute_query(query=query)
+    assert points is not None
+    assert len(points) == limit
+
+
+def test_dict_full_text_filter(qdrant_config, qdrant, index_docs):
+    store = QdrantDocumentIndex[SimpleDoc](db_config=qdrant_config)
+    store.index(index_docs)
+
+    # Search test
+    query = {
+        'filter': {'must': [{'key': 'text', 'match': {'text': '2'}}]},
+        'params': {'hnsw_ef': 128, 'exact': False},
+        'vector': ('embedding', [1.0, 0.0, 0.0, 0.0]),
+        'limit': 3,
+        'with_vectors': True,
+    }
+
+    points = store.execute_query(query=query)
+    assert points is not None
+    assert len(points) == 1
+    assert points[0].id == index_docs[2].id
+
+    # Scroll test
+    query = {
+        'filter': {'must': [{'key': 'text', 'match': {'text': '2'}}]},
+        'params': {'hnsw_ef': 128, 'exact': False},
+        'limit': 3,
+        'with_vectors': True,
+    }
+
+    points = store.execute_query(query=query)
+    assert points is not None
+    assert len(points) == 1
+    assert points[0].id == index_docs[2].id
diff --git a/tests/index/qdrant/test_text_search.py b/tests/index/qdrant/test_text_search.py
new file mode 100644
index 00000000000..9a863e2dbbf
--- /dev/null
+++ b/tests/index/qdrant/test_text_search.py
@@ -0,0 +1,68 @@
+import numpy as np
+
+from pydantic import Field
+
+from docarray import BaseDoc
+from docarray.index import QdrantDocumentIndex
+from docarray.typing import NdArray
+
+from .fixtures import qdrant_config, qdrant
+
+
+class SimpleDoc(BaseDoc):
+    embedding: NdArray[10] = Field(dim=1000)  # type: ignore[valid-type]
+    text: str
+
+
+def test_text_search(qdrant_config, qdrant):
+    class SimpleSchema(BaseDoc):
+        embedding: NdArray[10] = Field(space='cosine')  # type: ignore[valid-type]
+        text: str
+
+    store = QdrantDocumentIndex[SimpleSchema](db_config=qdrant_config)
+
+    index_docs = [
+        SimpleDoc(
+            embedding=np.zeros(10),
+            text=f'Lorem ipsum {i}',
+        )
+        for i in range(10)
+    ]
+    store.index(index_docs)
+
+    query = 'ipsum 2'
+    docs, scores = store.text_search(query, search_field='text', limit=5)
+
+    assert len(docs) == 1
+    assert len(scores) == 1
+    assert docs[0].id == index_docs[2].id
+    assert scores[0] > 0.0
+
+
+def test_text_search_batched(qdrant_config, qdrant):
+    class SimpleSchema(BaseDoc):
+        embedding: NdArray[10] = Field(space='cosine')  # type: ignore[valid-type]
+        text: str
+
+    store = QdrantDocumentIndex[SimpleSchema](db_config=qdrant_config)
+
+    index_docs = [
+        SimpleDoc(
+            embedding=np.zeros(10),
+            text=f'Lorem ipsum {i}',
+        )
+        for i in range(10)
+    ]
+    store.index(index_docs)
+
+    queries = ['ipsum 2', 'ipsum 4', 'Lorem']
+    docs, scores = store.text_search_batched(queries, search_field='text', limit=5)
+
+    assert len(docs) == 3
+    assert len(docs[0]) == 1
+    assert len(docs[1]) == 1
+    assert len(docs[2]) == 5
+    assert len(scores) == 3
+    assert len(scores[0]) == 1
+    assert len(scores[1]) == 1
+    assert len(scores[2]) == 5
diff --git a/tests/integrations/document/test_to_json.py b/tests/integrations/document/test_to_json.py
index 8eef195e2b8..44dcaf00431 100644
--- a/tests/integrations/document/test_to_json.py
+++ b/tests/integrations/document/test_to_json.py
@@ -35,7 +35,7 @@ def test_from_json(doc_and_class):
     doc, Mmdoc = doc_and_class
     new_doc = Mmdoc.parse_raw(doc.json())
 
-    for (field, field2) in zip(doc.dict().keys(), new_doc.dict().keys()):
+    for field, field2 in zip(doc.dict().keys(), new_doc.dict().keys()):
         if field in ['torch_tensor', 'img']:
             assert (getattr(doc, field) == getattr(doc, field2)).all()
         else:
@@ -46,7 +46,7 @@ def test_to_dict_to_json(doc_and_class):
     doc, Mmdoc = doc_and_class
     new_doc = Mmdoc.parse_raw(orjson_dumps(doc.dict()))
 
-    for (field, field2) in zip(doc.dict().keys(), new_doc.dict().keys()):
+    for field, field2 in zip(doc.dict().keys(), new_doc.dict().keys()):
         if field in ['torch_tensor', 'img']:
             assert (getattr(doc, field) == getattr(doc, field2)).all()
         else:
diff --git a/tests/integrations/predefined_document/test_image.py b/tests/integrations/predefined_document/test_image.py
index 77b1b37bf6c..e1e1087e01d 100644
--- a/tests/integrations/predefined_document/test_image.py
+++ b/tests/integrations/predefined_document/test_image.py
@@ -69,7 +69,6 @@ class MyDoc(BaseDoc):
 @pytest.mark.slow
 @pytest.mark.internet
 def test_byte():
-
     img = ImageDoc(url=REMOTE_JPG)
     img.bytes_ = img.url.load_bytes()
     assert isinstance(img.bytes_, ImageBytes)
@@ -78,7 +77,6 @@ def test_byte():
 @pytest.mark.slow
 @pytest.mark.internet
 def test_byte_from_tensor():
-
     img = ImageDoc(url=REMOTE_JPG)
     img.tensor = img.url.load()
     img.bytes_ = img.tensor.to_bytes()
diff --git a/tests/integrations/predefined_document/test_mesh.py b/tests/integrations/predefined_document/test_mesh.py
index 5f91ffd9067..87a18ff1600 100644
--- a/tests/integrations/predefined_document/test_mesh.py
+++ b/tests/integrations/predefined_document/test_mesh.py
@@ -14,7 +14,6 @@
 @pytest.mark.internet
 @pytest.mark.parametrize('file_url', [LOCAL_OBJ_FILE, REMOTE_OBJ_FILE])
 def test_mesh(file_url):
-
     mesh = Mesh3D(url=file_url)
 
     mesh.tensors = mesh.url.load()
diff --git a/tests/units/array/stack/test_array_stacked_tf.py b/tests/units/array/stack/test_array_stacked_tf.py
index c5bd31fea2e..4ad72559254 100644
--- a/tests/units/array/stack/test_array_stacked_tf.py
+++ b/tests/units/array/stack/test_array_stacked_tf.py
@@ -92,7 +92,6 @@ class Image(BaseDoc):
 
 @pytest.mark.tensorflow
 def test_stack_optional(batch):
-
     assert tnp.allclose(
         batch._storage.tensor_columns['tensor'].tensor, tf.zeros((10, 3, 224, 224))
     )
diff --git a/tests/units/document/proto/test_proto_based_object.py b/tests/units/document/proto/test_proto_based_object.py
index 96708dea32b..f36fade67dc 100644
--- a/tests/units/document/proto/test_proto_based_object.py
+++ b/tests/units/document/proto/test_proto_based_object.py
@@ -7,7 +7,6 @@
 
 @pytest.mark.proto
 def test_ndarray():
-
     original_ndarray = np.zeros((3, 224, 224))
 
     custom_ndarray = NdArray._docarray_from_native(original_ndarray)
@@ -19,7 +18,6 @@ def test_ndarray():
 
 @pytest.mark.proto
 def test_document_proto_set():
-
     data = {}
 
     nested_item1 = NodeProto(text='hello')
diff --git a/tests/units/typing/tensor/test_embedding.py b/tests/units/typing/tensor/test_embedding.py
index 88d9f83ecc1..5dd085f75c0 100644
--- a/tests/units/typing/tensor/test_embedding.py
+++ b/tests/units/typing/tensor/test_embedding.py
@@ -8,7 +8,6 @@
 
 @pytest.mark.proto
 def test_proto_embedding():
-
     embedding = parse_obj_as(AnyEmbedding, np.zeros((3, 224, 224)))
 
     embedding._to_node_protobuf()
diff --git a/tests/units/typing/tensor/test_torch_tensor.py b/tests/units/typing/tensor/test_torch_tensor.py
index 78b28b33c62..df1dacf72af 100644
--- a/tests/units/typing/tensor/test_torch_tensor.py
+++ b/tests/units/typing/tensor/test_torch_tensor.py
@@ -8,7 +8,6 @@
 
 @pytest.mark.proto
 def test_proto_tensor():
-
     tensor = parse_obj_as(TorchTensor, torch.zeros(3, 224, 224))
 
     tensor._to_node_protobuf()
diff --git a/tests/units/util/test_filter.py b/tests/units/util/test_filter.py
index 21c427a7bbf..417bde4232e 100644
--- a/tests/units/util/test_filter.py
+++ b/tests/units/util/test_filter.py
@@ -128,7 +128,6 @@ def test_simple_filter(docs, dict_api):
 
 @pytest.mark.parametrize('dict_api', [True, False])
 def test_nested_filter(docs, dict_api):
-
     if dict_api:
         method = lambda query: filter_docs(docs, query)  # noqa: E731
     else:
diff --git a/tests/units/util/test_map.py b/tests/units/util/test_map.py
index 68efdfbbd7e..c90a359f902 100644
--- a/tests/units/util/test_map.py
+++ b/tests/units/util/test_map.py
@@ -74,7 +74,6 @@ class MyImage(BaseDoc):
 @pytest.mark.parametrize('n_docs,batch_size', [(10, 5), (10, 8)])
 @pytest.mark.parametrize('backend', ['thread', 'process'])
 def test_map_docs_batched(n_docs, batch_size, backend):
-
     da = DocList[MyImage]([MyImage(url=IMAGE_PATHS['png']) for _ in range(n_docs)])
     it = map_docs_batched(
         docs=da, func=load_from_da, batch_size=batch_size, backend=backend