class_docstr: Handles connection and execution of the Qdrant statements.
class_docstr_tok: ["Handles","connection","and","execution","of","the","Qdrant","statements","."]
code: def __init__(self, name: str, **kwargs):
      super().__init__(name)
      connection_data = kwargs.get("connection_data").copy()
      # Qdrant offers several configuration and optmization options at the time of collection creation
      # Since the create table statement doesn't have a way to pass these options
      # We are requiring the user to pass these options in the connection_data
      # These options are documented here. https://qdrant.github.io/qdrant/redoc/index.html#tag/collections/operation/create_collection
      self.collection_config = connection_data.pop("collection_config")
      self.connect(**connection_data)
  
imports: from collections import OrderedDict
  from typing import Any, List, Optional
  from itertools import zip_longest
  from qdrant_client import QdrantClient, models
  import pandas
  from mindsdb.integrations.libs.response import HandlerResponse
  from mindsdb.integrations.libs.const import HANDLER_CONNECTION_ARG_TYPE
  from mindsdb.integrations.libs.response import RESPONSE_TYPE
  from mindsdb.integrations.libs.response import HandlerResponse
  from mindsdb.integrations.libs.response import HandlerStatusResponse
  from mindsdb.integrations.libs.vectordatabase_handler import FilterCondition, FilterOperator, TableField, VectorStoreHandler
  from mindsdb.utilities import log
label_desc: Use image node_id 1 to create a new QdrantHandler object from inherited base classes: VectorStoreHandler with example: obj = QdrantHandler(name)