class_docstr: Handles connection and execution of the Qdrant statements.
class_docstr_tok: ["Handles","connection","and","execution","of","the","Qdrant","statements","."]
docstr: Get the list of collections in the Qdrant instance.
  
  Returns:
      HandlerResponse: The common query handler response with a list of table names
docstr_tok: ["Get","the","list","of","collections","in","the","Qdrant","instance",".","Returns",":","HandlerResponse",":","The","common","query","handler","response","with","a","list","of","table","names"]
code: def get_tables(self) -> HandlerResponse:
      """Get the list of collections in the Qdrant instance.
  
      Returns:
          HandlerResponse: The common query handler response with a list of table names
      """
      collection_response = self._client.get_collections()
      collections_name = pd.DataFrame(
          columns=["table_name"],
          data=[
              collection.name
              for collection in collection_response.collections
          ],
      )
      return Response(
          resp_type=RESPONSE_TYPE.TABLE, data_frame=collections_name
      )
  
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 6 for calling the QdrantHandler obj's underlying member method code with example usage: obj.get_tables() and returns: Response