Return Citation about raptor HOT 2 OPEN

from raptor import RetrievalAugmentation, RetrievalAugmentationConfig, BaseQAModel
from openai import OpenAI
from tenacity import retry, stop_after_attempt, wait_random_exponential

class GPT3TurboCitationQAModel(BaseQAModel):

    def __init__(self, model="gpt-3.5-turbo"):
        self.model = model
        self.client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])

    @retry(wait=wait_random_exponential(min=1, max=20), stop=stop_after_attempt(6))
    def _attempt_answer_question(
        self, context, question, max_tokens=150, stop_sequence=None
    ):
        response = self.client.chat.completions.create(
            model=self.model,
            messages=[
                {"role": "system", "content": "You are an expert research assistant."},
                {
                    "role": "user",
                    "content": f"Given the following context:\n\n{context}\n\nAnswer the question: {question}\n\nPlease provide the most relevant and concise answer, and cite the specific parts of the context that support your answer.",
                },
            ],
            temperature=0,
        )
        return response.choices[0].message.content.strip()

    @retry(wait=wait_random_exponential(min=1, max=20), stop=stop_after_attempt(6))
    def answer_question(self, context, question, max_tokens=150, stop_sequence=None):
        try:
            return self._attempt_answer_question(
                context, question, max_tokens=max_tokens, stop_sequence=stop_sequence
            )
        except Exception as e:
            print(e)
            return e

RAC = RetrievalAugmentationConfig(qa_model=GPT3TurboCitationQAModel())
RA = RetrievalAugmentation(config=RAC)
RA.add_documents(text)