)
[docs]    @classmethod
    def from_llm(
        cls,
        llm: BaseLanguageModel,
        vectorstore: VectorStore,
        condense_question_prompt: BasePromptTemplate = CONDENSE_QUESTION_PROMPT,
        qa_prompt: Optional[BasePromptTemplate] = None,
        chain_type: str = "stuff",
        **kwargs: Any,
    ) -> BaseConversationalRetrievalChain:
        """Load chain from LLM."""
        doc_chain = load_qa_chain(
            llm,
            chain_type=chain_type,
            prompt=qa_prompt,
        )
        condense_question_chain = LLMChain(llm=llm, prompt=condense_question_prompt)
        return cls(
            vectorstore=vectorstore,
            combine_docs_chain=doc_chain,
            question_generator=condense_question_chain,
            **kwargs,
        )
By Harrison Chase
    
      © Copyright 2023, Harrison Chase.
      
  Last updated on Mar 24, 2023.