diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index bccbe2f206d..9df8e8a06d2 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -32,4 +32,4 @@ repos:
       args:
         - -S
       additional_dependencies:
-        - black==22.3.0
\ No newline at end of file
+        - black==22.3.0
diff --git a/docarray/index/abstract.py b/docarray/index/abstract.py
index 4feb576ed76..34879a5c1d4 100644
--- a/docarray/index/abstract.py
+++ b/docarray/index/abstract.py
@@ -571,7 +571,9 @@ def text_search_batched(
 
         if len(da_list) > 0 and isinstance(da_list[0], List):
             docs = [self._dict_list_to_docarray(docs) for docs in da_list]
-        return FindResultBatched(documents=docs, scores=scores)
+            return FindResultBatched(documents=docs, scores=scores)
+
+        return FindResultBatched(documents=da_list, scores=scores)
 
     ##########################################################
     # Helper methods                                         #
diff --git a/docarray/index/backends/weaviate.py b/docarray/index/backends/weaviate.py
new file mode 100644
index 00000000000..003b4683d22
--- /dev/null
+++ b/docarray/index/backends/weaviate.py
@@ -0,0 +1,810 @@
+import base64
+import copy
+import logging
+import os
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import (
+    Any,
+    Dict,
+    Generator,
+    Generic,
+    List,
+    Literal,
+    Optional,
+    Sequence,
+    Tuple,
+    Type,
+    TypeVar,
+    Union,
+    cast,
+)
+
+import numpy as np
+import weaviate
+
+import docarray
+from docarray import BaseDoc, DocList
+from docarray.index.abstract import BaseDocIndex, FindResultBatched, _FindResultBatched
+from docarray.typing import AnyTensor
+from docarray.typing.tensor.abstract_tensor import AbstractTensor
+from docarray.utils.find import FindResult, _FindResult
+
+TSchema = TypeVar('TSchema', bound=BaseDoc)
+T = TypeVar('T', bound='WeaviateDocumentIndex')
+
+
+DEFAULT_BATCH_CONFIG = {
+    "batch_size": 20,
+    "dynamic": False,
+    "timeout_retries": 3,
+    "num_workers": 1,
+}
+
+DEFAULT_BINARY_PATH = str(Path.home() / ".cache/weaviate-embedded/")
+DEFAULT_PERSISTENCE_DATA_PATH = str(Path.home() / ".local/share/weaviate")
+
+
+@dataclass
+class EmbeddedOptions:
+    persistence_data_path: str = os.environ.get(
+        "XDG_DATA_HOME", DEFAULT_PERSISTENCE_DATA_PATH
+    )
+    binary_path: str = os.environ.get("XDG_CACHE_HOME", DEFAULT_BINARY_PATH)
+    version: str = "latest"
+    port: int = 6666
+    hostname: str = "127.0.0.1"
+    additional_env_vars: Optional[Dict[str, str]] = None
+
+
+# TODO: add more types and figure out how to handle text vs string type
+# see https://weaviate.io/developers/weaviate/configuration/datatypes
+WEAVIATE_PY_VEC_TYPES = [list, np.ndarray, AbstractTensor]
+WEAVIATE_PY_TYPES = [bool, int, float, str, docarray.typing.ID]
+
+# "id" and "_id" are reserved names in weaviate so we need to use a different
+# name for the id column in a BaseDocument
+DOCUMENTID = "docarrayid"
+
+
+class WeaviateDocumentIndex(BaseDocIndex, Generic[TSchema]):
+    def __init__(self, db_config=None, **kwargs) -> None:
+        self.embedding_column = None
+        self.properties = None
+        # keep track of the column name that contains the bytes
+        # type because we will store them as a base64 encoded string
+        # in weaviate
+        self.bytes_columns = []
+        # keep track of the array columns that are not embeddings because we will
+        # convert them to python lists before uploading to weaviate
+        self.nonembedding_array_columns = []
+        super().__init__(db_config=db_config, **kwargs)
+        self._db_config = cast(WeaviateDocumentIndex.DBConfig, self._db_config)
+
+        if self._db_config.embedded_options:
+            self._client = weaviate.Client(
+                embedded_options=self._db_config.embedded_options
+            )
+        else:
+            self._client = weaviate.Client(
+                self._db_config.host, auth_client_secret=self._build_auth_credentials()
+            )
+
+        self._configure_client()
+        self._validate_columns()
+        self._set_embedding_column()
+        self._set_properties()
+        self._create_schema()
+
+    def _set_properties(self) -> None:
+        field_overwrites = {"id": DOCUMENTID}
+
+        self.properties = [
+            field_overwrites.get(k, k)
+            for k, v in self._column_infos.items()
+            if v.config.get('is_embedding', False) is False
+        ]
+
+    def _validate_columns(self) -> None:
+        # must have at most one column with property is_embedding=True
+        # and that column must be of type WEAVIATE_PY_VEC_TYPES
+        # TODO: update when https://github.com/weaviate/weaviate/issues/2424
+        # is implemented and discuss best interface to signal which column(s)
+        # should be used for embeddings
+        num_embedding_columns = 0
+
+        for column_name, column_info in self._column_infos.items():
+            if column_info.config.get('is_embedding', False):
+                num_embedding_columns += 1
+                # if db_type is not 'number[]', then that means the type of the column in
+                # the given schema is not one of WEAVIATE_PY_VEC_TYPES
+                # note: the mapping between a column's type in the schema to a weaviate type
+                # is handled by the python_type_to_db_type method
+                if column_info.db_type != 'number[]':
+                    raise ValueError(
+                        f'Column {column_name} is marked as embedding but is not of type {WEAVIATE_PY_VEC_TYPES}'
+                    )
+
+        if num_embedding_columns > 1:
+            raise ValueError(
+                f'Only one column can be marked as embedding but found {num_embedding_columns} columns marked as embedding'
+            )
+
+    def _set_embedding_column(self) -> None:
+        for column_name, column_info in self._column_infos.items():
+            if column_info.config.get('is_embedding', False):
+                self.embedding_column = column_name
+                break
+
+    def _configure_client(self) -> None:
+        self._client.batch.configure(**self._runtime_config.batch_config)
+
+    def _build_auth_credentials(self):
+        dbconfig = self._db_config
+
+        if dbconfig.auth_api_key:
+            return weaviate.auth.AuthApiKey(api_key=dbconfig.auth_api_key)
+        elif dbconfig.username and dbconfig.password:
+            return weaviate.auth.AuthClientPassword(
+                dbconfig.username, dbconfig.password, dbconfig.scopes
+            )
+        else:
+            return None
+
+    def configure(self, runtime_config=None, **kwargs) -> None:
+        super().configure(runtime_config, **kwargs)
+        self._configure_client()
+
+    def _create_schema(self) -> None:
+        schema = {}
+
+        properties = []
+        column_infos = self._column_infos
+
+        for column_name, column_info in column_infos.items():
+            # in weaviate, we do not create a property for the doc's embeddings
+            if column_name == self.embedding_column:
+                continue
+            if column_info.db_type == 'blob':
+                self.bytes_columns.append(column_name)
+            if column_info.db_type == 'number[]':
+                self.nonembedding_array_columns.append(column_name)
+            prop = {
+                "name": column_name
+                if column_name != 'id'
+                else DOCUMENTID,  # in weaviate, id and _id is a reserved keyword
+                "dataType": [column_info.db_type],
+            }
+            properties.append(prop)
+
+        # TODO: What is the best way to specify other config that is part of schema?
+        # e.g. invertedIndexConfig, shardingConfig, moduleConfig, vectorIndexConfig
+        #       and configure replication
+        # we will update base on user feedback
+        schema["properties"] = properties
+        schema["class"] = self._db_config.index_name
+
+        # TODO: Use exists() instead of contains() when available
+        #       see https://github.com/weaviate/weaviate-python-client/issues/232
+        if self._client.schema.contains(schema):
+            logging.warning(
+                f"Found index {self._db_config.index_name} with schema {schema}. Will reuse existing schema."
+            )
+        else:
+            self._client.schema.create_class(schema)
+
+    @dataclass
+    class DBConfig(BaseDocIndex.DBConfig):
+        host: str = 'http://localhost:8080'
+        index_name: str = 'Document'
+        username: str = None
+        password: str = None
+        scopes: List[str] = field(default_factory=lambda: ["offline_access"])
+        auth_api_key: str = None
+        embedded_options: Optional[EmbeddedOptions] = None
+
+    @dataclass
+    class RuntimeConfig(BaseDocIndex.RuntimeConfig):
+        default_column_config: Dict[Any, Dict[str, Any]] = field(
+            default_factory=lambda: {
+                np.ndarray: {},
+                docarray.typing.ID: {},
+                'string': {},
+                'text': {},
+                'int': {},
+                'number': {},
+                'boolean': {},
+                'number[]': {},
+                'blob': {},
+            }
+        )
+
+        batch_config: Dict[str, Any] = field(
+            default_factory=lambda: DEFAULT_BATCH_CONFIG
+        )
+
+    def _del_items(self, doc_ids: Sequence[str]):
+        has_matches = True
+
+        operands = [
+            {"path": [DOCUMENTID], "operator": "Equal", "valueString": doc_id}
+            for doc_id in doc_ids
+        ]
+        where_filter = {
+            "operator": "Or",
+            "operands": operands,
+        }
+
+        # do a loop because there is a limit to how many objects can be deleted at
+        # in a single query
+        # see: https://weaviate.io/developers/weaviate/api/rest/batch#maximum-number-of-deletes-per-query
+        while has_matches:
+            results = self._client.batch.delete_objects(
+                class_name=self._db_config.index_name,
+                where=where_filter,
+            )
+
+            has_matches = results["results"]["matches"]
+
+    def _filter(self, filter_query: Any, limit: int) -> Union[DocList, List[Dict]]:
+        self._overwrite_id(filter_query)
+
+        results = (
+            self._client.query.get(self._db_config.index_name, self.properties)
+            .with_additional("vector")
+            .with_where(filter_query)
+            .with_limit(limit)
+            .do()
+        )
+
+        docs = results["data"]["Get"][self._db_config.index_name]
+
+        return [self._parse_weaviate_result(doc) for doc in docs]
+
+    def _filter_batched(
+        self, filter_queries: Any, limit: int
+    ) -> Union[List[DocList], List[List[Dict]]]:
+        for filter_query in filter_queries:
+            self._overwrite_id(filter_query)
+
+        qs = [
+            self._client.query.get(self._db_config.index_name, self.properties)
+            .with_additional("vector")
+            .with_where(filter_query)
+            .with_limit(limit)
+            .with_alias(f'query_{i}')
+            for i, filter_query in enumerate(filter_queries)
+        ]
+
+        batched_results = self._client.query.multi_get(qs).do()
+
+        return [
+            [self._parse_weaviate_result(doc) for doc in batched_result]
+            for batched_result in batched_results["data"]["Get"].values()
+        ]
+
+    def find(
+        self,
+        query: Union[AnyTensor, BaseDoc],
+        search_field: str = '',
+        limit: int = 10,
+        **kwargs,
+    ):
+        self._logger.debug('Executing `find`')
+        if search_field != '':
+            raise ValueError(
+                'Argument search_field is not supported for WeaviateDocumentIndex.\nSet search_field to an empty string to proceed.'
+            )
+        embedding_field = self._get_embedding_field()
+        if isinstance(query, BaseDoc):
+            query_vec = self._get_values_by_column([query], embedding_field)[0]
+        else:
+            query_vec = query
+        query_vec_np = self._to_numpy(query_vec)
+        docs, scores = self._find(
+            query_vec_np, search_field=search_field, limit=limit, **kwargs
+        )
+
+        if isinstance(docs, List):
+            docs = self._dict_list_to_docarray(docs)
+
+        return FindResult(documents=docs, scores=scores)
+
+    def _overwrite_id(self, where_filter):
+        """
+        Overwrite the id field in the where filter to DOCUMENTID
+        if the "id" field is present in the path
+        """
+        for key, value in where_filter.items():
+            if key == "path" and value == ["id"]:
+                where_filter[key] = [DOCUMENTID]
+            elif isinstance(value, dict):
+                self._overwrite_id(value)
+            elif isinstance(value, list):
+                for item in value:
+                    if isinstance(item, dict):
+                        self._overwrite_id(item)
+
+    def _find(
+        self,
+        query: np.ndarray,
+        search_field: str,
+        limit: int,
+        score_name: Literal["certainty", "distance"] = "certainty",
+        score_threshold: Optional[float] = None,
+    ) -> _FindResult:
+        index_name = self._db_config.index_name
+        if search_field:
+            logging.warning(
+                'Argument search_field is not supported for WeaviateDocumentIndex. Ignoring.'
+            )
+        near_vector = {
+            "vector": query,
+        }
+        if score_threshold:
+            near_vector[score_name] = score_threshold
+
+        results = (
+            self._client.query.get(index_name, self.properties)
+            .with_near_vector(
+                near_vector,
+            )
+            .with_limit(limit)
+            .with_additional([score_name, "vector"])
+            .do()
+        )
+
+        return self._format_response(results["data"]["Get"][index_name], score_name)
+
+    def _format_response(
+        self, results, score_name
+    ) -> Tuple[List[DocList], List[float]]:
+        """
+        Format the response from Weaviate into a Tuple of DocList and scores
+        """
+
+        documents = []
+        scores = []
+
+        for result in results:
+            score = result["_additional"][score_name]
+            scores.append(score)
+
+            document = self._parse_weaviate_result(result)
+            documents.append(document)
+
+        return documents, scores
+
+    def find_batched(
+        self,
+        queries: Union[AnyTensor, DocList],
+        search_field: str = '',
+        limit: int = 10,
+        **kwargs,
+    ) -> FindResultBatched:
+        self._logger.debug('Executing `find_batched`')
+        if search_field != '':
+            raise ValueError(
+                'Argument search_field is not supported for WeaviateDocumentIndex.\nSet search_field to an empty string to proceed.'
+            )
+        embedding_field = self._get_embedding_field()
+
+        if isinstance(queries, Sequence):
+            query_vec_list = self._get_values_by_column(queries, embedding_field)
+            query_vec_np = np.stack(
+                tuple(self._to_numpy(query_vec) for query_vec in query_vec_list)
+            )
+        else:
+            query_vec_np = self._to_numpy(queries)
+
+        da_list, scores = self._find_batched(
+            query_vec_np, search_field=search_field, limit=limit, **kwargs
+        )
+
+        if len(da_list) > 0 and isinstance(da_list[0], List):
+            da_list = [self._dict_list_to_docarray(docs) for docs in da_list]
+
+        return FindResultBatched(documents=da_list, scores=scores)  # type: ignore
+
+    def _find_batched(
+        self,
+        queries: Sequence[np.ndarray],
+        search_field: str,
+        limit: int,
+        score_name: Literal["certainty", "distance"] = "certainty",
+        score_threshold: Optional[float] = None,
+    ) -> _FindResultBatched:
+        qs = []
+        for i, query in enumerate(queries):
+            near_vector = {"vector": query}
+
+            if score_threshold:
+                near_vector[score_name] = score_threshold
+
+            q = (
+                self._client.query.get(self._db_config.index_name, self.properties)
+                .with_near_vector(near_vector)
+                .with_limit(limit)
+                .with_additional([score_name, "vector"])
+                .with_alias(f'query_{i}')
+            )
+
+            qs.append(q)
+
+        results = self._client.query.multi_get(qs).do()
+
+        docs_and_scores = [
+            self._format_response(result, score_name)
+            for result in results["data"]["Get"].values()
+        ]
+
+        docs, scores = zip(*docs_and_scores)
+        return list(docs), list(scores)
+
+    def _get_items(self, doc_ids: Sequence[str]) -> List[Dict]:
+        # TODO: warn when doc_ids > QUERY_MAXIMUM_RESULTS after
+        #       https://github.com/weaviate/weaviate/issues/2792
+        #       is implemented
+        operands = [
+            {"path": [DOCUMENTID], "operator": "Equal", "valueString": doc_id}
+            for doc_id in doc_ids
+        ]
+        where_filter = {
+            "operator": "Or",
+            "operands": operands,
+        }
+
+        results = (
+            self._client.query.get(self._db_config.index_name, self.properties)
+            .with_where(where_filter)
+            .with_additional("vector")
+            .do()
+        )
+
+        docs = [
+            self._parse_weaviate_result(doc)
+            for doc in results["data"]["Get"][self._db_config.index_name]
+        ]
+
+        return docs
+
+    def _rewrite_documentid(self, document: Dict):
+        doc = document.copy()
+
+        # rewrite the id to DOCUMENTID
+        document_id = doc.pop('id')
+        doc[DOCUMENTID] = document_id
+
+        return doc
+
+    def _parse_weaviate_result(self, result: Dict) -> Dict:
+        """
+        Parse the result from weaviate to a format that is compatible with the schema
+        that was used to initialize weaviate with.
+        """
+
+        result = result.copy()
+
+        # rewrite the DOCUMENTID to id
+        if DOCUMENTID in result:
+            result['id'] = result.pop(DOCUMENTID)
+
+        # take the vector from the _additional field
+        if '_additional' in result and self.embedding_column:
+            additional_fields = result.pop('_additional')
+            if 'vector' in additional_fields:
+                result[self.embedding_column] = additional_fields['vector']
+
+        # convert any base64 encoded bytes column to bytes
+        self._decode_base64_properties_to_bytes(result)
+
+        return result
+
+    def _index(self, column_to_data: Dict[str, Generator[Any, None, None]]):
+        docs = self._transpose_col_value_dict(column_to_data)
+        index_name = self._db_config.index_name
+
+        with self._client.batch as batch:
+            for doc in docs:
+                parsed_doc = self._rewrite_documentid(doc)
+                self._encode_bytes_columns_to_base64(parsed_doc)
+                self._convert_nonembedding_array_to_list(parsed_doc)
+                vector = (
+                    parsed_doc.pop(self.embedding_column)
+                    if self.embedding_column
+                    else None
+                )
+
+                batch.add_data_object(
+                    uuid=weaviate.util.generate_uuid5(parsed_doc, index_name),
+                    data_object=parsed_doc,
+                    class_name=index_name,
+                    vector=vector,
+                )
+
+    def _text_search(self, query: str, search_field: str, limit: int) -> _FindResult:
+        index_name = self._db_config.index_name
+        bm25 = {"query": query, "properties": [search_field]}
+
+        results = (
+            self._client.query.get(index_name, self.properties)
+            .with_bm25(bm25)
+            .with_limit(limit)
+            .with_additional(["score", "vector"])
+            .do()
+        )
+
+        return self._format_response(results["data"]["Get"][index_name], "score")
+
+    def _text_search_batched(
+        self, queries: Sequence[str], search_field: str, limit: int
+    ) -> _FindResultBatched:
+        qs = []
+        for i, query in enumerate(queries):
+            bm25 = {"query": query, "properties": [search_field]}
+
+            q = (
+                self._client.query.get(self._db_config.index_name, self.properties)
+                .with_bm25(bm25)
+                .with_limit(limit)
+                .with_additional(["score", "vector"])
+                .with_alias(f'query_{i}')
+            )
+
+            qs.append(q)
+
+        results = self._client.query.multi_get(qs).do()
+
+        docs_and_scores = [
+            self._format_response(result, "score")
+            for result in results["data"]["Get"].values()
+        ]
+
+        docs, scores = zip(*docs_and_scores)
+        return list(docs), list(scores)
+
+    def execute_query(self, query: Any, *args, **kwargs) -> Any:
+        da_class = DocList.__class_getitem__(cast(Type[BaseDoc], self._schema))
+
+        if isinstance(query, self.QueryBuilder):
+            batched_results = self._client.query.multi_get(query._queries).do()
+            batched_docs = batched_results["data"]["Get"].values()
+
+            def f(doc):
+                return self._schema.from_view(self._parse_weaviate_result(doc))
+
+            results = [
+                da_class([f(doc) for doc in batched_doc])
+                for batched_doc in batched_docs
+            ]
+            return results if len(results) > 1 else results[0]
+
+        # TODO: validate graphql query string before sending it to weaviate
+        if isinstance(query, str):
+            return self._client.query.raw(query)
+
+    def num_docs(self) -> int:
+        index_name = self._db_config.index_name
+        result = self._client.query.aggregate(index_name).with_meta_count().do()
+        # TODO: decorator to check for errors
+        total_docs = result["data"]["Aggregate"][index_name][0]["meta"]["count"]
+
+        return total_docs
+
+    def python_type_to_db_type(self, python_type: Type) -> Any:
+        """Map python type to database type."""
+        for allowed_type in WEAVIATE_PY_VEC_TYPES:
+            if issubclass(python_type, allowed_type):
+                return 'number[]'
+
+        py_weaviate_type_map = {
+            docarray.typing.ID: 'string',
+            str: 'text',
+            int: 'int',
+            float: 'number',
+            bool: 'boolean',
+            np.ndarray: 'number[]',
+            bytes: 'blob',
+        }
+
+        for py_type, weaviate_type in py_weaviate_type_map.items():
+            if issubclass(python_type, py_type):
+                return weaviate_type
+
+        raise ValueError(f'Unsupported column type for {type(self)}: {python_type}')
+
+    def build_query(self) -> BaseDocIndex.QueryBuilder:
+        return self.QueryBuilder(self)
+
+    def _get_embedding_field(self) -> str:
+        for colname, colinfo in self._column_infos.items():
+            # no need to check for missing is_embedding attribute because this check
+            # is done when the index is created
+            if colinfo.config.get('is_embedding', None):
+                return colname
+
+    def _encode_bytes_columns_to_base64(self, doc):
+        for column in self.bytes_columns:
+            if doc[column] is not None:
+                doc[column] = base64.b64encode(doc[column]).decode("utf-8")
+
+    def _decode_base64_properties_to_bytes(self, doc):
+        for column in self.bytes_columns:
+            if doc[column] is not None:
+                doc[column] = base64.b64decode(doc[column])
+
+    def _convert_nonembedding_array_to_list(self, doc):
+        for column in self.nonembedding_array_columns:
+            if doc[column] is not None:
+                doc[column] = doc[column].tolist()
+
+    class QueryBuilder(BaseDocIndex.QueryBuilder):
+        def __init__(self, document_index):
+            self._queries = [
+                document_index._client.query.get(
+                    document_index._db_config.index_name, document_index.properties
+                )
+            ]
+
+        def build(self) -> Any:
+            num_queries = len(self._queries)
+
+            for i in range(num_queries):
+                q = self._queries[i]
+                if self._is_hybrid_query(q):
+                    self._make_proper_hybrid_query(q)
+                q.with_alias(f'query_{i}')
+
+            return self
+
+        def _is_hybrid_query(self, query: weaviate.gql.get.GetBuilder) -> bool:
+            """
+            Checks if a query has been composed with both a with_bm25 and a with_near_vector verb
+            """
+            if not query._near_ask:
+                return False
+            else:
+                return query._bm25 and query._near_ask._content.get("vector", None)
+
+        def _make_proper_hybrid_query(
+            self, query: weaviate.gql.get.GetBuilder
+        ) -> weaviate.gql.get.GetBuilder:
+            """
+            Modifies a query to be a proper hybrid query.
+
+            In weaviate, a query with with_bm25 and with_near_vector verb is not a hybrid query.
+            We need to use the with_hybrid verb to make it a hybrid query.
+            """
+
+            text_query = query._bm25.query
+            vector_query = query._near_ask._content["vector"]
+            hybrid_query = weaviate.gql.get.Hybrid(
+                query=text_query, vector=vector_query, alpha=0.5
+            )
+
+            query._bm25 = None
+            query._near_ask = None
+            query._hybrid = hybrid_query
+
+        def _overwrite_id(self, where_filter):
+            """
+            Overwrite the id field in the where filter to DOCUMENTID
+            if the "id" field is present in the path
+            """
+            for key, value in where_filter.items():
+                if key == "path" and value == ["id"]:
+                    where_filter[key] = [DOCUMENTID]
+                elif isinstance(value, dict):
+                    self._overwrite_id(value)
+                elif isinstance(value, list):
+                    for item in value:
+                        if isinstance(item, dict):
+                            self._overwrite_id(item)
+
+        def find(
+            self,
+            query,
+            score_name: Literal["certainty", "distance"] = "certainty",
+            score_threshold: Optional[float] = None,
+        ) -> Any:
+            near_vector = {
+                "vector": query,
+            }
+            if score_threshold:
+                near_vector[score_name] = score_threshold
+
+            self._queries[0] = self._queries[0].with_near_vector(near_vector)
+            return self
+
+        def find_batched(
+            self,
+            queries,
+            score_name: Literal["certainty", "distance"] = "certainty",
+            score_threshold: Optional[float] = None,
+        ) -> Any:
+            adj_queries, adj_clauses = self._resize_queries_and_clauses(
+                self._queries, queries
+            )
+            new_queries = []
+
+            for query, clause in zip(adj_queries, adj_clauses):
+                near_vector = {
+                    "vector": clause,
+                }
+                if score_threshold:
+                    near_vector[score_name] = score_threshold
+
+                new_queries.append(query.with_near_vector(near_vector))
+
+            self._queries = new_queries
+
+            return self
+
+        def filter(self, where_filter) -> Any:
+            where_filter = where_filter.copy()
+            self._overwrite_id(where_filter)
+            self._queries[0] = self._queries[0].with_where(where_filter)
+            return self
+
+        def filter_batched(self, filters) -> Any:
+            adj_queries, adj_clauses = self._resize_queries_and_clauses(
+                self._queries, filters
+            )
+            new_queries = []
+
+            for query, clause in zip(adj_queries, adj_clauses):
+                clause = clause.copy()
+                self._overwrite_id(clause)
+                new_queries.append(query.with_where(clause))
+
+            self._queries = new_queries
+
+            return self
+
+        def text_search(self, query, search_field) -> Any:
+            bm25 = {"query": query, "properties": [search_field]}
+            self._queries[0] = self._queries[0].with_bm25(**bm25)
+            return self
+
+        def text_search_batched(self, queries, search_field) -> Any:
+            adj_queries, adj_clauses = self._resize_queries_and_clauses(
+                self._queries, queries
+            )
+            new_queries = []
+
+            for query, clause in zip(adj_queries, adj_clauses):
+                bm25 = {"query": clause, "properties": [search_field]}
+                new_queries.append(query.with_bm25(**bm25))
+
+            self._queries = new_queries
+
+            return self
+
+        def limit(self, limit: int) -> Any:
+            self._queries = [query.with_limit(limit) for query in self._queries]
+            return self
+
+        def _resize_queries_and_clauses(self, queries, clauses):
+            """
+            Adjust the length and content of queries and clauses so that we can compose
+            them element-wise
+            """
+            num_clauses = len(clauses)
+            num_queries = len(queries)
+
+            # if there's only one clause, then we assume that it should be applied
+            # to every query
+            if num_clauses == 1:
+                return queries, clauses * num_queries
+            # if there's only one query, then we can lengthen it to match the number
+            # of clauses
+            elif num_queries == 1:
+                return [copy.deepcopy(queries[0]) for _ in range(num_clauses)], clauses
+            # if the number of queries and clauses is the same, then we can just
+            # return them as-is
+            elif num_clauses == num_queries:
+                return queries, clauses
+            else:
+                raise ValueError(
+                    f"Can't compose {num_clauses} clauses with {num_queries} queries"
+                )
diff --git a/poetry.lock b/poetry.lock
index 12dd4370927..2da34c6bfc1 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,16 @@
-# This file is automatically @generated by Poetry and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.4.2 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 +291,37 @@ 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"
+version = "1.2.0"
+description = "The ultimate Python library in building OAuth and OpenID Connect servers and clients."
+category = "main"
+optional = false
+python-versions = "*"
+files = [
+    {file = "Authlib-1.2.0-py2.py3-none-any.whl", hash = "sha256:4ddf4fd6cfa75c9a460b361d4bd9dac71ffda0be879dbe4292a02e92349ad55a"},
+    {file = "Authlib-1.2.0.tar.gz", hash = "sha256:4fa3e80883a5915ef9f5bc28630564bc4ed5b5af39812a3ff130ec76bd631e9d"},
+]
+
+[package.dependencies]
+cryptography = ">=3.2"
 
 [[package]]
 name = "av"
@@ -320,18 +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"
@@ -347,14 +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]
@@ -366,41 +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-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\""}
 
@@ -427,14 +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"},
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+    {file = "bleach-6.0.0.tar.gz", hash = "sha256:1a1a85c1595e07d8db14c5f09f09e6433502c51c595970edc090551f0db99414"},
 ]
 
 [package.dependencies]
@@ -443,22 +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 = "1.26.111"
 description = "The AWS SDK for Python"
 category = "main"
 optional = true
 python-versions = ">= 3.7"
 files = [
-    {file = "boto3-1.26.95-py3-none-any.whl", hash = "sha256:2f07523d45da7a970d18037676e1fb78401ce3f44f4cc26a6a991be8c519b62b"},
-    {file = "boto3-1.26.95.tar.gz", hash = "sha256:945d32fa9bbbb5fc775378bc2c19278797b54ad57e24bd4dbd46ab27f0938152"},
+    {file = "boto3-1.26.111-py3-none-any.whl", hash = "sha256:6cb601c4232537aca2dd216282ff4383a7277f6a150b2c8947eda0c3933d0223"},
+    {file = "boto3-1.26.111.tar.gz", hash = "sha256:db8733f0a723c4548b6565d8665b876e93f28837d8d6bae40cc03a6e597cd6a6"},
 ]
 
 [package.dependencies]
-botocore = ">=1.29.95,<1.30.0"
+botocore = ">=1.29.111,<1.30.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.6.0,<0.7.0"
 
@@ -467,14 +530,14 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.29.95"
+version = "1.29.111"
 description = "Low-level, data-driven core of boto 3."
 category = "main"
 optional = true
 python-versions = ">= 3.7"
 files = [
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-    {file = "botocore-1.29.95.tar.gz", hash = "sha256:e9ffd4a2fc415c313eda03713c212e3121084fdcb21e20aac5b15924a4ae5a9d"},
+    {file = "botocore-1.29.111-py3-none-any.whl", hash = "sha256:baa6442df9b539c5c4e622bd22b47bc3594a0428f280587a359a9298e73a6e48"},
+    {file = "botocore-1.29.111.tar.gz", hash = "sha256:c3a51d80ceac0945969f94894651c4728525c7cf2df7d7838063c3516f5ee9e3"},
 ]
 
 [package.dependencies]
@@ -511,21 +574,21 @@ 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]]
 name = "cffi"
 version = "1.15.1"
 description = "Foreign Function Interface for Python calling C code."
-category = "dev"
+category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -624,19 +687,89 @@ files = [
 
 [[package]]
 name = "charset-normalizer"
-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"
@@ -684,53 +817,80 @@ colorama = {version = "*", markers = "sys_platform == \"win32\""}
 development = ["black", "flake8", "mypy", "pytest", "types-colorama"]
 
 [[package]]
-name = "commonmark"
-version = "0.9.1"
-description = "Python parser for the CommonMark Markdown spec"
+name = "cryptography"
+version = "40.0.1"
+description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">=3.6"
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 ]
 
+[package.dependencies]
+cffi = ">=1.12"
+
 [package.extras]
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+docs = ["sphinx (>=5.3.0)", "sphinx-rtd-theme (>=1.1.1)"]
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+pep8test = ["black", "check-manifest", "mypy", "ruff"]
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+test-randomorder = ["pytest-randomly"]
+tox = ["tox"]
 
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 description = "An implementation of the Debug Adapter Protocol for Python"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
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 ]
 
 [[package]]
 name = "decorator"
 version = "5.1.1"
 description = "Decorators for Humans"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.5"
 files = [
@@ -839,14 +999,14 @@ 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 = [
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 ]
 
 [package.extras]
@@ -854,36 +1014,36 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "fastapi"
-version = "0.87.0"
+version = "0.95.0"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 category = "main"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [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]
@@ -891,19 +1051,34 @@ 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"},
-    {file = "filelock-3.8.0.tar.gz", hash = "sha256:55447caa666f2198c5b6b13a26d2084d26fa5b115c00d065664b2124680c4edc"},
+    {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 = [
+    {file = "fqdn-1.5.1-py3-none-any.whl", hash = "sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014"},
+    {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"
@@ -1009,14 +1184,14 @@ 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
 python-versions = ">=3.7"
 files = [
-    {file = "griffe-0.25.5-py3-none-any.whl", hash = "sha256:1fb9edff48e66d4873014a2ebf21aca5f271d0006a4c937826e3cf592ffb3706"},
-    {file = "griffe-0.25.5.tar.gz", hash = "sha256:11ea3403ef0560a1cbcf7f302eb5d21cf4c1d8ed3f8a16a75aa9f6f458caf3f1"},
+    {file = "griffe-0.27.0-py3-none-any.whl", hash = "sha256:f3a5726e2d5876ac882d48ff9ca1a95c5bc267196a8f114263e66e234141bb84"},
+    {file = "griffe-0.27.0.tar.gz", hash = "sha256:dcf3cc4205f33cbb16095324803a6904e0b293cd1630ceab4b66a9115af6b818"},
 ]
 
 [package.dependencies]
@@ -1057,14 +1232,14 @@ numpy = "*"
 
 [[package]]
 name = "httpcore"
-version = "0.16.1"
+version = "0.17.0"
 description = "A minimal low-level HTTP client."
 category = "dev"
 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]
@@ -1079,38 +1254,38 @@ 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"
 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"]}
+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 = "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]
@@ -1130,14 +1305,14 @@ 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]
@@ -1145,39 +1320,39 @@ 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]]
@@ -1258,6 +1433,21 @@ 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"
@@ -1278,33 +1468,34 @@ 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 = "0.35.0"
 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-0.35.0.tar.gz", hash = "sha256:f0826dc6d22aa8da983e4f67af8fa5b78dd852274da71adea7a38d9620438b37"},
+    {file = "jina_hubble_sdk-0.35.0-py3-none-any.whl", hash = "sha256:957e4ce5e9400ee27aad7a6e728172cdcffb8bb6667e430fa3c97f000650beb3"},
 ]
 
 [package.dependencies]
@@ -1353,38 +1544,58 @@ 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)"]
@@ -1392,14 +1603,14 @@ 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]
@@ -1434,16 +1645,41 @@ 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 = "1.23.6"
 description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "jupyter_server-1.23.2-py3-none-any.whl", hash = "sha256:c01d0e84c22a14dd6b0e7d8ce4105b08a3426b46582668e28046a64c07311a4f"},
-    {file = "jupyter_server-1.23.2.tar.gz", hash = "sha256:69cb954ef02c0ba1837787e34e4a1240c93c8eb590662fae1840778861957660"},
+    {file = "jupyter_server-1.23.6-py3-none-any.whl", hash = "sha256:ede3a5c09b075541d960bb02854b617c0ffa58706c37de92e2d1c5acdc359c20"},
+    {file = "jupyter_server-1.23.6.tar.gz", hash = "sha256:fde15df6d11a053b17cf2450eea9984ec9a6f28ad3cb2caa73c31e53ea184fc1"},
 ]
 
 [package.dependencies]
@@ -1451,7 +1687,7 @@ 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 = "*"
@@ -1467,16 +1703,76 @@ 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]
@@ -1484,16 +1780,17 @@ 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"
@@ -1509,30 +1806,30 @@ files = [
 
 [[package]]
 name = "jupyterlab-server"
-version = "2.16.3"
+version = "2.22.0"
 description = "A set of server components for JupyterLab and JupyterLab like applications."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "jupyterlab_server-2.16.3-py3-none-any.whl", hash = "sha256:d18eb623428b4ee732c2258afaa365eedd70f38b609981ea040027914df32bc6"},
-    {file = "jupyterlab_server-2.16.3.tar.gz", hash = "sha256:635a0b176a901f19351c02221a124e59317c476f511200409b7d867e8b2905c3"},
+    {file = "jupyterlab_server-2.22.0-py3-none-any.whl", hash = "sha256:f4a7263ada89958854631a64bed45285caeac482925233159709f643c5871490"},
+    {file = "jupyterlab_server-2.22.0.tar.gz", hash = "sha256:0f9f6752b0c534a7b22a6542b984fa6a2c18ab4d4e0a4c79f191138506a9a75f"},
 ]
 
 [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 = ["codecov", "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"
@@ -1770,54 +2067,90 @@ 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 = [
+    {file = "markdown-it-py-2.2.0.tar.gz", hash = "sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1"},
+    {file = "markdown_it_py-2.2.0-py3-none-any.whl", hash = "sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30"},
+]
+
+[package.dependencies]
+mdurl = ">=0.1,<1.0"
+typing_extensions = {version = ">=3.7.4", markers = "python_version < \"3.8\""}
+
+[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"]
+
 [[package]]
 name = "markupsafe"
-version = "2.1.1"
+version = "2.1.2"
 description = "Safely add untrusted strings to HTML/XML markup."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "MarkupSafe-2.1.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:86b1f75c4e7c2ac2ccdaec2b9022845dbb81880ca318bb7a0a01fbf7813e3812"},
-    {file = "MarkupSafe-2.1.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f121a1420d4e173a5d96e47e9a0c0dcff965afdf1626d28de1460815f7c4ee7a"},
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 [[package]]
@@ -1835,6 +2168,18 @@ files = [
 [package.dependencies]
 traitlets = "*"
 
+[[package]]
+name = "mdurl"
+version = "0.1.2"
+description = "Markdown URL utilities"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
 [[package]]
 name = "mergedeep"
 version = "1.3.4"
@@ -1849,14 +2194,14 @@ 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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 ]
 
 [[package]]
@@ -1907,14 +2252,14 @@ 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]
@@ -1924,14 +2269,14 @@ 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]
@@ -1959,14 +2304,14 @@ files = [
 
 [[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-0.20.0.tar.gz", hash = "sha256:c757f4f646d4f939491d6bc9256bfe33e36c5f8026392f49eaa351d241c838e5"},
+    {file = "mkdocstrings-0.21.2-py3-none-any.whl", hash = "sha256:949ef8da92df9d692ca07be50616459a6b536083a25520fd54b00e8814ce019b"},
+    {file = "mkdocstrings-0.21.2.tar.gz", hash = "sha256:304e56a2e90595708a38a13a278e538a67ad82052dd5c8b71f77a604a4f3d911"},
 ]
 
 [package.dependencies]
@@ -1977,6 +2322,7 @@ 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)"]
@@ -1985,19 +2331,19 @@ 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 = [
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-    {file = "mkdocstrings_python-0.8.3-py3-none-any.whl", hash = "sha256:4e6e1cd6f37a785de0946ced6eb846eb2f5d891ac1cc2c7b832943d3529087a7"},
+    {file = "mkdocstrings-python-0.9.0.tar.gz", hash = "sha256:da0a54d7d46523a25a5227f0ecc74b491291bd9d36fc71445bfb0ea64283e287"},
+    {file = "mkdocstrings_python-0.9.0-py3-none-any.whl", hash = "sha256:00e02b5d3d444f9abdec2398f9ba0c73e15deab78685f793f5801fd4d62a5b6f"},
 ]
 
 [package.dependencies]
 griffe = ">=0.24"
-mkdocstrings = ">=0.19"
+mkdocstrings = ">=0.20"
 
 [[package]]
 name = "mktestdocs"
@@ -2118,42 +2464,42 @@ 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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+    {file = "mypy-1.2.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:4d19f1a239d59f10fdc31263d48b7937c585810288376671eaf75380b074f238"},
+    {file = "mypy-1.2.0-cp39-cp39-win_amd64.whl", hash = "sha256:2de7babe398cb7a85ac7f1fd5c42f396c215ab3eff731b4d761d68d0f6a80f48"},
+    {file = "mypy-1.2.0-py3-none-any.whl", hash = "sha256:d8e9187bfcd5ffedbe87403195e1fc340189a68463903c39e2b63307c9fa0394"},
+    {file = "mypy-1.2.0.tar.gz", hash = "sha256:f70a40410d774ae23fcb4afbbeca652905a04de7948eaf0b1789c8d1426b72d1"},
 ]
 
 [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"
@@ -2166,14 +2512,14 @@ 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 = [
-    {file = "mypy_extensions-0.4.3-py2.py3-none-any.whl", hash = "sha256:090fedd75945a69ae91ce1303b5824f428daf5a028d2f6ab8a299250a846f15d"},
-    {file = "mypy_extensions-0.4.3.tar.gz", hash = "sha256:2d82818f5bb3e369420cb3c4060a7970edba416647068eb4c5343488a6c604a8"},
+    {file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"},
+    {file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
 ]
 
 [[package]]
@@ -2194,14 +2540,14 @@ 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 = [
-    {file = "nbclassic-0.4.8-py3-none-any.whl", hash = "sha256:cbf05df5842b420d5cece0143462380ea9d308ff57c2dc0eb4d6e035b18fbfb3"},
-    {file = "nbclassic-0.4.8.tar.gz", hash = "sha256:c74d8a500f8e058d46b576a41e5bc640711e1032cf7541dde5f73ea49497e283"},
+    {file = "nbclassic-0.5.5-py3-none-any.whl", hash = "sha256:47791b04dbcb89bf7fde910a3d848fd4793a4248a8936202453631a87da37d51"},
+    {file = "nbclassic-0.5.5.tar.gz", hash = "sha256:d2c91adc7909b0270c73e3e253d3687a6704b4f0a94bc156a37c85eba09f4d37"},
 ]
 
 [package.dependencies]
@@ -2226,40 +2572,41 @@ 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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-    {file = "nbclient-0.7.0.tar.gz", hash = "sha256:a1d844efd6da9bc39d2209bf996dbd8e07bf0f36b796edfabaa8f8a9ab77c3aa"},
+    {file = "nbclient-0.7.3-py3-none-any.whl", hash = "sha256:8fa96f7e36693d5e83408f5e840f113c14a45c279befe609904dbe05dad646d1"},
+    {file = "nbclient-0.7.3.tar.gz", hash = "sha256:26e41c6dca4d76701988bc34f64e1bfc2413ae6d368f13d7b5ac407efb08c755"},
 ]
 
 [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 = [
-    {file = "nbconvert-7.2.5-py3-none-any.whl", hash = "sha256:3e90e108bb5637b5b8a1422af1156af1368b39dd25369ff7faa7dfdcdef18f81"},
-    {file = "nbconvert-7.2.5.tar.gz", hash = "sha256:8fdc44fd7d9424db7fdc6e1e834a02f6b8620ffb653767388be2f9eb16f84184"},
+    {file = "nbconvert-7.3.1-py3-none-any.whl", hash = "sha256:d2e95904666f1ff77d36105b9de4e0801726f93b862d5b28f69e93d99ad3b19c"},
+    {file = "nbconvert-7.3.1.tar.gz", hash = "sha256:78685362b11d2e8058e70196fe83b09abed8df22d3e599cf271f4d39fdc48b9e"},
 ]
 
 [package.dependencies]
@@ -2281,24 +2628,24 @@ 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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 [package.dependencies]
@@ -2309,7 +2656,8 @@ 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"
@@ -2359,14 +2707,14 @@ setuptools = "*"
 
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 name = "notebook"
-version = "6.5.2"
+version = "6.5.4"
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 category = "dev"
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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]]
@@ -2777,30 +3142,33 @@ 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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-    {file = "pluggy-0.13.1.tar.gz", hash = "sha256:15b2acde666561e1298d71b523007ed7364de07029219b604cf808bfa1c765b0"},
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+    {file = "pluggy-1.0.0.tar.gz", hash = "sha256:4224373bacce55f955a878bf9cfa763c1e360858e330072059e10bad68531159"},
 ]
 
 [package.dependencies]
@@ -2808,17 +3176,18 @@ 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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+    {file = "pre_commit-2.21.0.tar.gz", hash = "sha256:31ef31af7e474a8d8995027fefdfcf509b5c913ff31f2015b4ec4beb26a6f658"},
 ]
 
 [package.dependencies]
@@ -2827,19 +3196,18 @@ 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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+    {file = "prometheus_client-0.16.0-py3-none-any.whl", hash = "sha256:0836af6eb2c8f4fed712b2f279f6c0a8bbab29f9f4aa15276b91c7cb0d1616ab"},
+    {file = "prometheus_client-0.16.0.tar.gz", hash = "sha256:a03e35b359f14dd1630898543e2120addfdeacd1a6069c1367ae90fd93ad3f48"},
 ]
 
 [package.extras]
@@ -2847,14 +3215,14 @@ 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]
@@ -2862,26 +3230,25 @@ wcwidth = "*"
 
 [[package]]
 name = "protobuf"
-version = "4.21.9"
+version = "4.22.1"
 description = ""
 category = "main"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
@@ -2923,18 +3290,6 @@ files = [
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 ]
 
-[[package]]
-name = "py"
-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.*"
-files = [
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-]
-
 [[package]]
 name = "pyasn1"
 version = "0.4.8"
@@ -2969,7 +3324,7 @@ validation = ["lxml"]
 name = "pycparser"
 version = "2.21"
 description = "C parser in Python"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 files = [
@@ -2979,52 +3334,52 @@ 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 = "7.2.1"
+version = "7.3.0"
 description = "pytest: simple powerful testing with Python"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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 colorama = {version = "*", markers = "sys_platform == \"win32\""}
 exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
 importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""}
@@ -3143,25 +3487,26 @@ pluggy = ">=0.12,<2.0"
 tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
-testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "xmlschema"]
+testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "xmlschema"]
 
 [[package]]
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 [package.dependencies]
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+pytest = ">=7.0.0"
 typing-extensions = {version = ">=3.7.2", markers = "python_version < \"3.8\""}
 
 [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]]
@@ -3201,56 +3546,68 @@ cryptography = ["cryptography (>=3.4.0)"]
 pycrypto = ["pyasn1", "pycrypto (>=2.6.0,<2.7.0)"]
 pycryptodome = ["pyasn1", "pycryptodome (>=3.3.1,<4.0.0)"]
 
+[[package]]
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+version = "2.0.7"
+description = "A python library adding a json log formatter"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
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+
 [[package]]
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 description = "World timezone definitions, modern and historical"
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 python-versions = "*"
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 description = "Pseudo terminal support for Windows from Python."
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 python-versions = ">=3.7"
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 ]
 
 [[package]]
@@ -3320,91 +3677,93 @@ pyyaml = "*"
 
 [[package]]
 name = "pyzmq"
-version = "24.0.1"
+version = "25.0.2"
 description = "Python bindings for 0MQ"
 category = "dev"
 optional = false
 python-versions = ">=3.6"
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@@ -3506,63 +3865,72 @@ files = [
 
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 description = "Easily download, build, install, upgrade, and uninstall Python packages"
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@@ -3853,26 +4222,26 @@ 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-manylinux2014_aarch64.whl", hash = "sha256:2c3581a3fd81eb1f0f22997cddffea569fea53bafa372b2c0471db373b26aafc"},
+    {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]
@@ -4038,32 +4395,53 @@ files = [
     {file = "tornado-6.2.tar.gz", hash = "sha256:9b630419bde84ec666bfd7ea0a4cb2a8a651c2d5cccdbdd1972a0c859dfc3c13"},
 ]
 
+[[package]]
+name = "tqdm"
+version = "4.65.0"
+description = "Fast, Extensible Progress Meter"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "tqdm-4.65.0-py3-none-any.whl", hash = "sha256:c4f53a17fe37e132815abceec022631be8ffe1b9381c2e6e30aa70edc99e9671"},
+    {file = "tqdm-4.65.0.tar.gz", hash = "sha256:1871fb68a86b8fb3b59ca4cdd3dcccbc7e6d613eeed31f4c332531977b89beb5"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
+[package.extras]
+dev = ["py-make (>=0.1.0)", "twine", "wheel"]
+notebook = ["ipywidgets (>=6)"]
+slack = ["slack-sdk"]
+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]
@@ -4126,38 +4504,38 @@ 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]
@@ -4165,26 +4543,26 @@ 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]]
@@ -4203,16 +4581,31 @@ 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]
@@ -4222,14 +4615,14 @@ 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]
@@ -4238,66 +4631,82 @@ 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"
+version = "0.20.0"
+description = "Python Data Validation for Humans™."
+category = "main"
+optional = false
+python-versions = ">=3.4"
+files = [
+    {file = "validators-0.20.0.tar.gz", hash = "sha256:24148ce4e64100a2d5e267233e23e7afeb55316b47d30faae7eb6e7292bc226a"},
+]
+
+[package.dependencies]
+decorator = ">=3.4.0"
+
+[package.extras]
+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 = [
-    {file = "virtualenv-20.16.7-py3-none-any.whl", hash = "sha256:efd66b00386fdb7dbe4822d172303f40cd05e50e01740b19ea42425cbe653e29"},
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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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+
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+
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 [package.extras]
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+    {file = "y_py-0.5.9-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1f54625b9ed4e787872c45d3044dcfd04c0da4258d9914f3d32308830b35246c"},
+    {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"
@@ -4571,33 +5090,53 @@ 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 = ["elasticsearch"]
-full = ["protobuf", "lz4", "pandas", "pillow", "types-pillow", "av", "pydub", "trimesh"]
+full = ["av", "lz4", "pandas", "pillow", "protobuf", "pydub", "trimesh", "types-pillow"]
 hnswlib = ["hnswlib"]
 image = ["pillow", "types-pillow"]
 jac = ["jina-hubble-sdk"]
 mesh = ["trimesh"]
 pandas = ["pandas"]
-proto = ["protobuf", "lz4"]
+proto = ["lz4", "protobuf"]
 torch = ["torch"]
 video = ["av"]
 web = ["fastapi"]
@@ -4605,4 +5144,4 @@ web = ["fastapi"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.7,<4.0"
-content-hash = "dd56d7cfa5b6758063baba58a5259f06535e0f425366360d042836aa479eab15"
+content-hash = "482120f25222e00ad4f90b038c898f03169f4d9504218963c67b921111549a9c"
diff --git a/pyproject.toml b/pyproject.toml
index 6982b351b47..caa011f4f99 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -24,6 +24,7 @@ hnswlib = {version = ">=0.6.2", optional = true }
 lz4 = {version= ">=1.0.0", optional = true}
 pydub = {version = "^0.25.1", optional = true }
 pandas = {version = ">=1.1.0", optional = true }
+weaviate-client = {version = ">=3.15", extras = ["weaviate"]}
 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}
diff --git a/tests/integrations/doc_index/weaviate/docker-compose.yml b/tests/integrations/doc_index/weaviate/docker-compose.yml
new file mode 100644
index 00000000000..5cca1e722eb
--- /dev/null
+++ b/tests/integrations/doc_index/weaviate/docker-compose.yml
@@ -0,0 +1,27 @@
+version: '3.8'
+
+services:
+  
+ weaviate:
+  command:
+    - --host
+    - 0.0.0.0
+    - --port
+    - '8080'
+    - --scheme
+    - http
+  image: semitechnologies/weaviate:1.18.3
+  ports:
+    - "8080:8080"
+  restart: on-failure:0
+  environment:
+    QUERY_DEFAULTS_LIMIT: 25
+    AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED: 'true'
+    PERSISTENCE_DATA_PATH: '/var/lib/weaviate'
+    DEFAULT_VECTORIZER_MODULE: 'none'
+    ENABLE_MODULES: ''
+    CLUSTER_HOSTNAME: 'node1'
+    LOG_LEVEL: debug # verbose
+    LOG_FORMAT: text
+    # LOG_LEVEL: trace # very verbose
+    GODEBUG: gctrace=1 # make go garbage collector verbose
\ No newline at end of file
diff --git a/tests/integrations/doc_index/weaviate/fixture.py b/tests/integrations/doc_index/weaviate/fixture.py
new file mode 100644
index 00000000000..786a92b2a00
--- /dev/null
+++ b/tests/integrations/doc_index/weaviate/fixture.py
@@ -0,0 +1,41 @@
+import os
+import time
+
+import pytest
+import requests
+import weaviate
+
+HOST = "http://localhost:8080"
+
+
+cur_dir = os.path.dirname(os.path.abspath(__file__))
+weaviate_yml = os.path.abspath(os.path.join(cur_dir, 'docker-compose.yml'))
+
+
+@pytest.fixture(scope='session', autouse=True)
+def start_storage():
+    os.system(f"docker-compose -f {weaviate_yml} up -d --remove-orphans")
+    _wait_for_weaviate()
+
+    yield
+    os.system(f"docker-compose -f {weaviate_yml} down --remove-orphans")
+
+
+def _wait_for_weaviate():
+    while True:
+        try:
+            response = requests.get(f"{HOST}/v1/.well-known/ready")
+            if response.status_code == 200:
+                return
+            else:
+                time.sleep(0.5)
+        except requests.exceptions.ConnectionError:
+            time.sleep(1)
+
+
+@pytest.fixture
+def weaviate_client(start_storage):
+    client = weaviate.Client(HOST)
+    client.schema.delete_all()
+    yield client
+    client.schema.delete_all()
diff --git a/tests/integrations/doc_index/weaviate/test_column_config.py b/tests/integrations/doc_index/weaviate/test_column_config.py
new file mode 100644
index 00000000000..ca7b6be2fc2
--- /dev/null
+++ b/tests/integrations/doc_index/weaviate/test_column_config.py
@@ -0,0 +1,33 @@
+# TODO: enable ruff qa on this file when we figure out why it thinks weaviate_client is
+#       redefined at each test that fixture
+# ruff: noqa
+from pydantic import Field
+
+from docarray import BaseDoc
+from docarray.index.backends.weaviate import WeaviateDocumentIndex
+from tests.integrations.doc_index.weaviate.fixture import (  # noqa: F401
+    start_storage,
+    weaviate_client,
+)
+
+
+def test_column_config(weaviate_client):
+    def get_text_field_data_type(store, index_name):
+        props = store._client.schema.get(index_name)["properties"]
+        text_field = [p for p in props if p["name"] == "text"][0]
+
+        return text_field["dataType"][0]
+
+    class TextDoc(BaseDoc):
+        text: str = Field()
+
+    class StringDoc(BaseDoc):
+        text: str = Field(col_type="string")
+
+    dbconfig = WeaviateDocumentIndex.DBConfig(index_name="TextDoc")
+    store = WeaviateDocumentIndex[TextDoc](db_config=dbconfig)
+    assert get_text_field_data_type(store, "TextDoc") == "text"
+
+    dbconfig = WeaviateDocumentIndex.DBConfig(index_name="StringDoc")
+    store = WeaviateDocumentIndex[StringDoc](db_config=dbconfig)
+    assert get_text_field_data_type(store, "StringDoc") == "string"
diff --git a/tests/integrations/doc_index/weaviate/test_find.py b/tests/integrations/doc_index/weaviate/test_find.py
new file mode 100644
index 00000000000..04e11f3f120
--- /dev/null
+++ b/tests/integrations/doc_index/weaviate/test_find.py
@@ -0,0 +1,64 @@
+# TODO: enable ruff qa on this file when we figure out why it thinks weaviate_client is
+#       redefined at each test that fixture
+# ruff: noqa
+import numpy as np
+import torch
+from pydantic import Field
+
+from docarray import BaseDoc
+from docarray.index.backends.weaviate import WeaviateDocumentIndex
+from docarray.typing import TorchTensor
+from tests.integrations.doc_index.weaviate.fixture import (  # noqa: F401
+    start_storage,
+    weaviate_client,
+)
+
+
+def test_find_torch(weaviate_client):
+    class TorchDoc(BaseDoc):
+        tens: TorchTensor[10] = Field(dims=10, is_embedding=True)
+
+    store = WeaviateDocumentIndex[TorchDoc]()
+
+    index_docs = [
+        TorchDoc(tens=np.random.rand(10).astype(dtype=np.float32)) for _ in range(10)
+    ]
+    store.index(index_docs)
+
+    query = index_docs[-1]
+    docs, scores = store.find(query, limit=5)
+
+    assert len(docs) == 5
+    assert len(scores) == 5
+    for doc in docs:
+        assert isinstance(doc.tens, TorchTensor)
+
+    assert docs[0].id == index_docs[-1].id
+    assert torch.allclose(docs[0].tens, index_docs[-1].tens)
+
+
+def test_find_tensorflow():
+    from docarray.typing import TensorFlowTensor
+
+    class TfDoc(BaseDoc):
+        tens: TensorFlowTensor[10] = Field(dims=10, is_embedding=True)
+
+    store = WeaviateDocumentIndex[TfDoc]()
+
+    index_docs = [
+        TfDoc(tens=np.random.rand(10).astype(dtype=np.float32)) for _ in range(10)
+    ]
+    store.index(index_docs)
+
+    query = index_docs[-1]
+    docs, scores = store.find(query, 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
+    assert np.allclose(
+        docs[0].tens.unwrap().numpy(), index_docs[-1].tens.unwrap().numpy()
+    )
diff --git a/tests/integrations/doc_index/weaviate/test_index_get_del.py b/tests/integrations/doc_index/weaviate/test_index_get_del.py
new file mode 100644
index 00000000000..0ab4d5c51ef
--- /dev/null
+++ b/tests/integrations/doc_index/weaviate/test_index_get_del.py
@@ -0,0 +1,451 @@
+# TODO: enable ruff qa on this file when we figure out why it thinks weaviate_client is
+#       redefined at each test that fixture
+# ruff: noqa
+import logging
+
+import numpy as np
+import pytest
+from pydantic import Field
+
+from docarray import BaseDoc
+from docarray.documents import ImageDoc, TextDoc
+from docarray.index.backends.weaviate import (
+    DOCUMENTID,
+    EmbeddedOptions,
+    WeaviateDocumentIndex,
+)
+from docarray.typing import NdArray
+from tests.integrations.doc_index.weaviate.fixture import (  # noqa: F401
+    start_storage,
+    weaviate_client,
+)
+
+
+class SimpleDoc(BaseDoc):
+    tens: NdArray[10] = Field(dim=1000, is_embedding=True)
+
+
+class Document(BaseDoc):
+    embedding: NdArray[2] = Field(dim=2, is_embedding=True)
+    text: str = Field()
+
+
+class NestedDocument(BaseDoc):
+    text: str = Field()
+    child: Document
+
+
+@pytest.fixture
+def ten_simple_docs():
+    return [SimpleDoc(tens=np.random.randn(10)) for _ in range(10)]
+
+
+@pytest.fixture
+def documents():
+    texts = ["lorem ipsum", "dolor sit amet", "consectetur adipiscing elit"]
+    embeddings = [[10, 10], [10.5, 10.5], [-100, -100]]
+
+    # create the docs by enumerating from 1 and use that as the id
+    docs = [
+        Document(id=str(i), embedding=embedding, text=text)
+        for i, (embedding, text) in enumerate(zip(embeddings, texts))
+    ]
+
+    yield docs
+
+
+@pytest.fixture
+def test_store(weaviate_client, documents):
+    store = WeaviateDocumentIndex[Document]()
+    store.index(documents)
+    yield store
+
+
+def test_index_simple_schema(weaviate_client, ten_simple_docs):
+    store = WeaviateDocumentIndex[SimpleDoc]()
+    store.index(ten_simple_docs)
+    assert store.num_docs() == 10
+
+    for doc in ten_simple_docs:
+        doc_id = doc.id
+        doc_embedding = doc.tens
+
+        result = (
+            weaviate_client.query.get("Document", DOCUMENTID)
+            .with_additional("vector")
+            .with_where(
+                {"path": [DOCUMENTID], "operator": "Equal", "valueString": doc_id}
+            )
+            .do()
+        )
+
+        result = result["data"]["Get"]["Document"][0]
+        assert result[DOCUMENTID] == doc_id
+        assert np.allclose(result["_additional"]["vector"], doc_embedding)
+
+
+def test_validate_columns(weaviate_client):
+    dbconfig = WeaviateDocumentIndex.DBConfig(host="http://weaviate:8080")
+
+    class InvalidDoc1(BaseDoc):
+        tens: NdArray[10] = Field(dim=1000, is_embedding=True)
+        tens2: NdArray[10] = Field(dim=1000, is_embedding=True)
+
+    class InvalidDoc2(BaseDoc):
+        tens: int = Field(dim=1000, is_embedding=True)
+
+    with pytest.raises(ValueError, match=r"Only one column can be marked as embedding"):
+        WeaviateDocumentIndex[InvalidDoc1](db_config=dbconfig)
+
+    with pytest.raises(ValueError, match=r"marked as embedding but is not of type"):
+        WeaviateDocumentIndex[InvalidDoc2](db_config=dbconfig)
+
+
+def test_find(weaviate_client, caplog):
+    class Document(BaseDoc):
+        embedding: NdArray[2] = Field(dim=2, is_embedding=True)
+
+    vectors = [[10, 10], [10.5, 10.5], [-100, -100]]
+    docs = [Document(embedding=vector) for vector in vectors]
+
+    store = WeaviateDocumentIndex[Document]()
+    store.index(docs)
+
+    query = [10.1, 10.1]
+
+    results = store.find(
+        query, search_field='', limit=3, score_name="distance", score_threshold=1e-2
+    )
+    assert len(results) == 2
+
+    results = store.find(query, search_field='', limit=3, score_threshold=0.99)
+    assert len(results) == 2
+
+    with pytest.raises(
+        ValueError,
+        match=r"Argument search_field is not supported for WeaviateDocumentIndex",
+    ):
+        store.find(query, search_field="foo", limit=10)
+
+
+def test_find_batched(weaviate_client, caplog):
+    class Document(BaseDoc):
+        embedding: NdArray[2] = Field(dim=2, is_embedding=True)
+
+    vectors = [[10, 10], [10.5, 10.5], [-100, -100]]
+    docs = [Document(embedding=vector) for vector in vectors]
+
+    store = WeaviateDocumentIndex[Document]()
+    store.index(docs)
+
+    queries = np.array([[10.1, 10.1], [-100, -100]])
+
+    results = store.find_batched(
+        queries, search_field='', limit=3, score_name="distance", score_threshold=1e-2
+    )
+    assert len(results) == 2
+    assert len(results.documents[0]) == 2
+    assert len(results.documents[1]) == 1
+
+    results = store.find_batched(
+        queries, search_field='', limit=3, score_name="certainty"
+    )
+    assert len(results) == 2
+    assert len(results.documents[0]) == 3
+    assert len(results.documents[1]) == 3
+
+    with pytest.raises(
+        ValueError,
+        match=r"Argument search_field is not supported for WeaviateDocumentIndex",
+    ):
+        store.find_batched(queries, search_field="foo", limit=10)
+
+
+@pytest.mark.parametrize(
+    "filter_query, expected_num_docs",
+    [
+        ({"path": ["text"], "operator": "Equal", "valueText": "lorem ipsum"}, 1),
+        ({"path": ["text"], "operator": "Equal", "valueText": "foo"}, 0),
+        ({"path": ["id"], "operator": "Equal", "valueString": "1"}, 1),
+    ],
+)
+def test_filter(test_store, filter_query, expected_num_docs):
+    docs = test_store.filter(filter_query, limit=3)
+    actual_num_docs = len(docs)
+
+    assert actual_num_docs == expected_num_docs
+
+
+@pytest.mark.parametrize(
+    "filter_queries, expected_num_docs",
+    [
+        (
+            [
+                {"path": ["text"], "operator": "Equal", "valueText": "lorem ipsum"},
+                {"path": ["text"], "operator": "Equal", "valueText": "foo"},
+            ],
+            [1, 0],
+        ),
+        (
+            [
+                {"path": ["id"], "operator": "Equal", "valueString": "1"},
+                {"path": ["id"], "operator": "Equal", "valueString": "2"},
+            ],
+            [1, 0],
+        ),
+    ],
+)
+def test_filter_batched(test_store, filter_queries, expected_num_docs):
+    filter_queries = [
+        {"path": ["text"], "operator": "Equal", "valueText": "lorem ipsum"},
+        {"path": ["text"], "operator": "Equal", "valueText": "foo"},
+    ]
+
+    results = test_store.filter_batched(filter_queries, limit=3)
+    actual_num_docs = [len(docs) for docs in results]
+    assert actual_num_docs == expected_num_docs
+
+
+def test_text_search(test_store):
+    results = test_store.text_search(query="lorem", search_field="text", limit=3)
+    assert len(results.documents) == 1
+
+
+def test_text_search_batched(test_store):
+    text_queries = ["lorem", "foo"]
+
+    results = test_store.text_search_batched(
+        queries=text_queries, search_field="text", limit=3
+    )
+    assert len(results.documents[0]) == 1
+    assert len(results.documents[1]) == 0
+
+
+def test_del_items(test_store):
+    del test_store[["1", "2"]]
+    assert test_store.num_docs() == 1
+
+
+def test_get_items(test_store):
+    docs = test_store[["1", "2"]]
+    assert len(docs) == 2
+    assert set(doc.id for doc in docs) == {'1', '2'}
+
+
+def test_index_nested_documents(weaviate_client):
+    store = WeaviateDocumentIndex[NestedDocument]()
+    document = NestedDocument(
+        text="lorem ipsum", child=Document(embedding=[10, 10], text="dolor sit amet")
+    )
+    store.index([document])
+    assert store.num_docs() == 1
+
+
+@pytest.mark.parametrize(
+    "search_field, query, expected_num_docs",
+    [
+        ("text", "lorem", 1),
+        ("child__text", "dolor", 1),
+        ("text", "foo", 0),
+        ("child__text", "bar", 0),
+    ],
+)
+def test_text_search_nested_documents(
+    weaviate_client, search_field, query, expected_num_docs
+):
+    store = WeaviateDocumentIndex[NestedDocument]()
+    document = NestedDocument(
+        text="lorem ipsum", child=Document(embedding=[10, 10], text="dolor sit amet")
+    )
+    store.index([document])
+
+    results = store.text_search(query=query, search_field=search_field, limit=3)
+
+    assert len(results.documents) == expected_num_docs
+
+
+def test_reuse_existing_schema(weaviate_client, caplog):
+    WeaviateDocumentIndex[SimpleDoc]()
+
+    with caplog.at_level(logging.DEBUG):
+        WeaviateDocumentIndex[SimpleDoc]()
+        assert "Will reuse existing schema" in caplog.text
+
+
+def test_query_builder(test_store):
+    query_embedding = [10.25, 10.25]
+    query_text = "ipsum"
+    where_filter = {"path": ["id"], "operator": "Equal", "valueString": "1"}
+    q = (
+        test_store.build_query()
+        .find(query=query_embedding)
+        .filter(where_filter)
+        .build()
+    )
+
+    docs = test_store.execute_query(q)
+    assert len(docs) == 1
+
+    q = (
+        test_store.build_query()
+        .text_search(query=query_text, search_field="text")
+        .build()
+    )
+
+    docs = test_store.execute_query(q)
+    assert len(docs) == 1
+
+
+def test_batched_query_builder(test_store):
+    query_embeddings = [[10.25, 10.25], [-100, -100]]
+    query_texts = ["ipsum", "foo"]
+    where_filters = [{"path": ["id"], "operator": "Equal", "valueString": "1"}]
+
+    q = (
+        test_store.build_query()
+        .find_batched(
+            queries=query_embeddings, score_name="certainty", score_threshold=0.99
+        )
+        .filter_batched(filters=where_filters)
+        .build()
+    )
+
+    docs = test_store.execute_query(q)
+    assert len(docs[0]) == 1
+    assert len(docs[1]) == 0
+
+    q = (
+        test_store.build_query()
+        .text_search_batched(queries=query_texts, search_field="text")
+        .build()
+    )
+
+    docs = test_store.execute_query(q)
+    assert len(docs[0]) == 1
+    assert len(docs[1]) == 0
+
+
+def test_raw_graphql(test_store):
+    graphql_query = """
+    {
+     Aggregate {
+      Document {
+       meta {
+        count
+       }
+      }
+     }
+    }
+    """
+
+    results = test_store.execute_query(graphql_query)
+    num_docs = results["data"]["Aggregate"]["Document"][0]["meta"]["count"]
+
+    assert num_docs == 3
+
+
+def test_hybrid_query(test_store):
+    query_embedding = [10.25, 10.25]
+    query_text = "ipsum"
+    where_filter = {"path": ["id"], "operator": "Equal", "valueString": "1"}
+
+    q = (
+        test_store.build_query()
+        .find(query=query_embedding)
+        .text_search(query=query_text, search_field="text")
+        .filter(where_filter)
+        .build()
+    )
+
+    docs = test_store.execute_query(q)
+    assert len(docs) == 1
+
+
+def test_hybrid_query_batched(test_store):
+    query_embeddings = [[10.25, 10.25], [-100, -100]]
+    query_texts = ["dolor", "elit"]
+
+    q = (
+        test_store.build_query()
+        .find_batched(
+            queries=query_embeddings, score_name="certainty", score_threshold=0.99
+        )
+        .text_search_batched(queries=query_texts, search_field="text")
+        .build()
+    )
+
+    docs = test_store.execute_query(q)
+    assert docs[0][0].id == '1'
+    assert docs[1][0].id == '2'
+
+
+def test_index_multi_modal_doc():
+    class MyMultiModalDoc(BaseDoc):
+        image: ImageDoc
+        text: TextDoc
+
+    store = WeaviateDocumentIndex[MyMultiModalDoc]()
+
+    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_
+    assert np.all(store[id_].image.embedding == doc[0].image.embedding)
+    assert store[id_].text.text == doc[0].text.text
+
+
+def test_index_document_with_bytes(weaviate_client):
+    doc = ImageDoc(id="1", url="www.foo.com", bytes_=b"foo")
+
+    store = WeaviateDocumentIndex[ImageDoc]()
+    store.index([doc])
+
+    results = store.filter(
+        filter_query={"path": ["id"], "operator": "Equal", "valueString": "1"}
+    )
+
+    assert doc == results[0]
+
+
+def test_index_document_with_no_embeddings(weaviate_client):
+    # define a document that does not have any field where is_embedding=True
+    class Document(BaseDoc):
+        not_embedding: NdArray[2] = Field(dim=2)
+        text: str
+
+    doc = Document(not_embedding=[2, 5], text="dolor sit amet", id="1")
+
+    store = WeaviateDocumentIndex[Document]()
+
+    store.index([doc])
+
+    results = store.filter(
+        filter_query={"path": ["id"], "operator": "Equal", "valueString": "1"}
+    )
+
+    assert doc == results[0]
+
+
+def test_limit_query_builder(test_store):
+    query_vector = [10.25, 10.25]
+    q = test_store.build_query().find(query=query_vector).limit(2)
+
+    docs = test_store.execute_query(q)
+    assert len(docs) == 2
+
+
+@pytest.mark.linux
+def test_embedded_weaviate():
+    class Document(BaseDoc):
+        text: str
+
+    embedded_options = EmbeddedOptions()
+    db_config = WeaviateDocumentIndex.DBConfig(embedded_options=embedded_options)
+    store = WeaviateDocumentIndex[Document](db_config=db_config)
+
+    assert store._client._connection.embedded_db