code: def run(
      self, user_input: str, memory: ConversationBufferWithSummary
  ) -> Tuple[str, ConversationBufferWithSummary]:
      if memory:
          memory.buffered_history.messages = (
              memory.buffered_history.messages
          )
          memory.summarized_history_temp.messages = (
              memory.summarized_history_temp.messages
          )
      result = self.rag_chain.run(
          query=user_input,
          stop=[memory.human_prefix + ": "],
          rejection_trigger_keywrods=ZH_RETRIEVAL_QA_TRIGGER_KEYWORDS,
          rejection_answer=ZH_RETRIEVAL_QA_REJECTION_ANSWER,
      )
      return result, memory
  
imports: import os
  from typing import Dict, Tuple
  from colossalqa.chain.retrieval_qa.base import RetrievalQA
  from colossalqa.data_loader.document_loader import DocumentLoader
  from colossalqa.memory import ConversationBufferWithSummary
  from colossalqa.mylogging import get_logger
  from colossalqa.prompt.prompt import PROMPT_DISAMBIGUATE_ZH, PROMPT_RETRIEVAL_QA_ZH, SUMMARY_PROMPT_ZH, ZH_RETRIEVAL_QA_REJECTION_ANSWER, ZH_RETRIEVAL_QA_TRIGGER_KEYWORDS
  from colossalqa.retriever import CustomRetriever
  from langchain import LLMChain
  from langchain.embeddings import HuggingFaceEmbeddings
label_desc: Use image node_id 14 for calling the RAG_ChatBot obj's underlying member method code with example usage: obj.run(user_input, memory) and returns: result,  memory