code: def clear_docs(self, **kwargs):
      self.documents = []
      self.docs_names = []
      self.info_retriever.clear_documents()
      self.memory.initiate_document_retrieval_chain(
          self.llm, kwargs["gen_qa_prompt"], self.info_retriever
      )
  
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 12 for calling the RAG_ChatBot obj's underlying member method code with example usage: obj.clear_docs() without return types