google.generativeai.protos.GenerateAnswerResponse
Response from the model for a grounded answer.
Attributes |
|---|
|
`answer`
|
`google.ai.generativelanguage.Candidate`
Candidate answer from the model.
Note: The model *always* attempts to provide a grounded
answer, even when the answer is unlikely to be answerable
from the given passages. In that case, a low-quality or
ungrounded answer may be provided, along with a low
``answerable_probability``.
|
|
`answerable_probability`
|
`float`
Output only. The model's estimate of the probability that
its answer is correct and grounded in the input passages.
A low ``answerable_probability`` indicates that the answer
might not be grounded in the sources.
When ``answerable_probability`` is low, you may want to:
- Display a message to the effect of "We couldn’t answer
that question" to the user.
- Fall back to a general-purpose LLM that answers the
question from world knowledge. The threshold and nature
of such fallbacks will depend on individual use cases.
``0.5`` is a good starting threshold.
|
|
`input_feedback`
|
`google.ai.generativelanguage.GenerateAnswerResponse.InputFeedback`
Output only. Feedback related to the input data used to
answer the question, as opposed to the model-generated
response to the question.
The input data can be one or more of the following:
- Question specified by the last entry in
``GenerateAnswerRequest.content``
- Conversation history specified by the other entries in
``GenerateAnswerRequest.content``
- Grounding sources
(GenerateAnswerRequest.semantic_retriever or
GenerateAnswerRequest.inline_passages)
|
Child Classes
class InputFeedback
View source on GitHub