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google.ai.generativelanguage.GenerateAnswerResponse

Response from the model for a grounded answer.

Main aliases

`google.ai.generativelanguage_v1beta.GenerateAnswerResponse`

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, some clients may wish 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 clients’ use cases. 0.5 is a good starting threshold.

Attributes

answer

google.ai.generativelanguage.Candidate

Candidate answer from the model.

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, some clients may wish 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 clients’ use cases. 0.5 is a good starting threshold.