AqaOutput#
- class langchain_google_genai.genai_aqa.AqaOutput[source]#
Bases:
BaseModelOutput from GenAIAqa.invoke.
- answer#
The answer to the user’s inquiry.
- attributed_passages#
A list of passages that the LLM used to construct the answer.
- answerable_probability#
The probability of the question being answered from the provided passages.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
- param answer: str [Required]#
- param answerable_probability: float [Required]#
- param attributed_passages: List[str] [Required]#