def __init__(
        self, url, user, password, database, llm: LLM, validate_cypher: bool = False
    ):
        """
        Initializes the Neo4jSchemaWiseQuery object.

        Args:
            url (str): The connection string for the Neo4j database.
            user (str): Username for the Neo4j database.
            password (str): Password for the Neo4j database.
            llm (obj): A language model for generating Cypher queries.
            validate_cypher (bool): Validate relationship directions in
                the generated Cypher statement. Default: False

        """
        if find_spec("neo4j") is None:
            raise ImportError(
                "`neo4j` package not found, please run `pip install neo4j`"
            )

        self.graph_store = Neo4jGraphStore(
            url=url, username=user, password=password, database=database
        )
        self.llm = llm
        self.cypher_query_corrector = None
        if validate_cypher:
            corrector_schema = [
                Schema(el["start"], el["type"], el["end"])
                for el in self.graph_store.structured_schema.get("relationships")
            ]
            self.cypher_query_corrector = CypherQueryCorrector(corrector_schema)

        Initializes the Neo4jSchemaWiseQuery object.

        Args:
            url (str): The connection string for the Neo4j database.
            user (str): Username for the Neo4j database.
            password (str): Password for the Neo4j database.
            llm (obj): A language model for generating Cypher queries.
            validate_cypher (bool): Validate relationship directions in
                the generated Cypher statement. Default: False

        
llama-index-integrations/tools/llama-index-tools-neo4j/llama_index/tools/neo4j/base.py