"""Extract Cypher code from text using Regex."""
    # The pattern to find Cypher code enclosed in triple backticks
    pattern = r"```(.*?)```"
    # Find all matches in the input text
    matches = re.findall(pattern, text, re.DOTALL)
    return matches[0] if matches else text
[docs]def use_simple_prompt(llm: BaseLanguageModel) -> bool:
    """Decides whether to use the simple prompt"""
    if llm._llm_type and "anthropic" in llm._llm_type:  # type: ignore
        return True
    # Bedrock anthropic
    if hasattr(llm, "model_id") and "anthropic" in llm.model_id:  # type: ignore
        return True
    return False
PROMPT_SELECTOR = ConditionalPromptSelector(
    default_prompt=NEPTUNE_OPENCYPHER_GENERATION_PROMPT,
    conditionals=[(use_simple_prompt, NEPTUNE_OPENCYPHER_GENERATION_SIMPLE_PROMPT)],
)
[docs]class NeptuneOpenCypherQAChain(Chain):
    """Chain for question-answering against a Neptune graph
    by generating openCypher statements.
    *Security note*: Make sure that the database connection uses credentials
        that are narrowly-scoped to only include necessary permissions.
        Failure to do so may result in data corruption or loss, since the calling
        code may attempt commands that would result in deletion, mutation
        of data if appropriately prompted or reading sensitive data if such
        data is present in the database.
        The best way to guard against such negative outcomes is to (as appropriate)
        limit the permissions granted to the credentials used with this tool.
        See https://python.langchain.com/docs/security for more information.
    Example: