def __init__(
        self,
        pod: str,
        store: str,
        vector_index: str,
        vector_type: str,
        vector_dimension: int,
        url: str,
    ):
        """
        Constructor of JaguarVectorStore.

        Args:
            pod: str:  name of the pod (database)
            store: str:  name of vector store in the pod
            vector_index: str:  name of vector index of the store
            vector_type: str:  type of the vector index
            vector_dimension: int:  dimension of the vector index
            url: str:  URL end point of jaguar http server

        """
        super().__init__(stores_text=True)
        self._pod = self._sanitize_input(pod)
        self._store = self._sanitize_input(store)
        self._vector_index = self._sanitize_input(vector_index)
        self._vector_type = self._sanitize_input(vector_type)
        self._vector_dimension = vector_dimension
        self._jag = JaguarHttpClient(url)
        self._token = ""

        Constructor of JaguarVectorStore.

        Args:
            pod: str:  name of the pod (database)
            store: str:  name of vector store in the pod
            vector_index: str:  name of vector index of the store
            vector_type: str:  type of the vector index
            vector_dimension: int:  dimension of the vector index
            url: str:  URL end point of jaguar http server

        
llama-index-integrations/vector_stores/llama-index-vector-stores-jaguar/llama_index/vector_stores/jaguar/base.py