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QuestionAnswer Class — langchain Architecture

Architecture documentation for the QuestionAnswer class in citation_fuzzy_match.py from the langchain codebase.

Entity Profile

Dependency Diagram

graph TD
  5b8f2b6b_34e4_46a6_b2b2_c05916ee27da["QuestionAnswer"]
  3fe204c3_507d_e239_ac89_e54bd9ed1a7b["citation_fuzzy_match.py"]
  5b8f2b6b_34e4_46a6_b2b2_c05916ee27da -->|defined in| 3fe204c3_507d_e239_ac89_e54bd9ed1a7b

Relationship Graph

Source Code

libs/langchain/langchain_classic/chains/openai_functions/citation_fuzzy_match.py lines 60–74

class QuestionAnswer(BaseModel):
    """A question and its answer as a list of facts.

    Each fact should have a source.
    Each sentence contains a body and a list of sources.
    """

    question: str = Field(..., description="Question that was asked")
    answer: list[FactWithEvidence] = Field(
        ...,
        description=(
            "Body of the answer, each fact should be "
            "its separate object with a body and a list of sources"
        ),
    )

Frequently Asked Questions

What is the QuestionAnswer class?
QuestionAnswer is a class in the langchain codebase, defined in libs/langchain/langchain_classic/chains/openai_functions/citation_fuzzy_match.py.
Where is QuestionAnswer defined?
QuestionAnswer is defined in libs/langchain/langchain_classic/chains/openai_functions/citation_fuzzy_match.py at line 60.

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