QAGenerateChain Class — langchain Architecture

Architecture documentation for the QAGenerateChain class in generate_chain.py from the langchain codebase.

Class python

Entity Profile

Dependency Diagram

graph TD
  1feb16ff_4a6f_cda5_3e2f_e69c1cd4fab3["QAGenerateChain"]
  ccf50fe1_4990_cf19_1e2d_25efe83f53c5["LLMChain"]
  1feb16ff_4a6f_cda5_3e2f_e69c1cd4fab3 -->|extends| ccf50fe1_4990_cf19_1e2d_25efe83f53c5
  c4046222_3bff_e87c_0a69_17dd7e1b7108["generate_chain.py"]
  1feb16ff_4a6f_cda5_3e2f_e69c1cd4fab3 -->|defined in| c4046222_3bff_e87c_0a69_17dd7e1b7108
  c0a7e1af_b8bd_6255_4a30_691df119a606["is_lc_serializable()"]
  1feb16ff_4a6f_cda5_3e2f_e69c1cd4fab3 -->|method| c0a7e1af_b8bd_6255_4a30_691df119a606
  8d0205f8_d66f_acd6_a50d_1f62f9e8de8a["from_llm()"]
  1feb16ff_4a6f_cda5_3e2f_e69c1cd4fab3 -->|method| 8d0205f8_d66f_acd6_a50d_1f62f9e8de8a

Relationship Graph

Source Code

libs/langchain/langchain_classic/evaluation/qa/generate_chain.py lines 22–36

class QAGenerateChain(LLMChain):
    """LLM Chain for generating examples for question answering."""

    output_parser: BaseLLMOutputParser = Field(default=_QA_OUTPUT_PARSER)
    output_key: str = "qa_pairs"

    @classmethod
    @override
    def is_lc_serializable(cls) -> bool:
        return False

    @classmethod
    def from_llm(cls, llm: BaseLanguageModel, **kwargs: Any) -> QAGenerateChain:
        """Load QA Generate Chain from LLM."""
        return cls(llm=llm, prompt=PROMPT, **kwargs)