code: import langchain
  from dotenv import load_dotenv
  from langchain.chains import FlareChain
  from langchain.chat_models import ChatOpenAI
  from langchain.embeddings import OpenAIEmbeddings
  from langchain.llms import OpenAI
  from langchain.vectorstores import FAISS
  
  langchain.verbose = True
  
  load_dotenv()
  
  # FAISSで保存されたベクトルを読み込む
  embeddings = OpenAIEmbeddings()
  db = FAISS.load_local("./tmp/faiss", embeddings)
  retriever = db.as_retriever()
  
  # FLAREの準備
  chat = ChatOpenAI(model_name="gpt-3.5-turbo", temperature=0)
  flare = FlareChain.from_llm(
      llm=chat,
      retriever=retriever,
      min_prob=0.2,
  )
  # 回答の生成には、logprobsが使えるCompletions APIを使う
  flare.response_chain.llm = OpenAI(
      model="gpt-3.5-turbo-instruct",
      temperature=0,
      model_kwargs={"logprobs": 1},
  )
  
  query = "LangChainとは"
  result = flare.run(query)
  print(result)
  
apis: langchain.chat_models.ChatOpenAI langchain.llms.OpenAI langchain.chains.FlareChain.from_llm langchain.embeddings.OpenAIEmbeddings langchain.vectorstores.FAISS.load_local
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