from_llm() — langchain Function Reference

Architecture documentation for the from_llm() function in re_phraser.py from the langchain codebase.

Function python LangChainCore MessageInterface

Entity Profile

LangChainCore→ MessageInterface→ from_llm() — langchain Function Reference

Dependency Diagram

graph TD
  10e6c3f2_093e_ad9e_d8a5_6f45854350b2["from_llm()"]
  7d7b7f28_6346_74a0_c2d3_da5a2d751cf0["RePhraseQueryRetriever"]
  10e6c3f2_093e_ad9e_d8a5_6f45854350b2 -->|defined in| 7d7b7f28_6346_74a0_c2d3_da5a2d751cf0
  style 10e6c3f2_093e_ad9e_d8a5_6f45854350b2 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/retrievers/re_phraser.py lines 37–59

    def from_llm(
        cls,
        retriever: BaseRetriever,
        llm: BaseLLM,
        prompt: BasePromptTemplate = DEFAULT_QUERY_PROMPT,
    ) -> "RePhraseQueryRetriever":
        """Initialize from llm using default template.

        The prompt used here expects a single input: `question`

        Args:
            retriever: retriever to query documents from
            llm: llm for query generation using DEFAULT_QUERY_PROMPT
            prompt: prompt template for query generation

        Returns:
            RePhraseQueryRetriever
        """
        llm_chain = prompt | llm | StrOutputParser()
        return cls(
            retriever=retriever,
            llm_chain=llm_chain,
        )