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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::Fact.
The fact used in grounding.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#query
def query() -> ::String- (::String) — Query that is used to retrieve this fact.
#query=
def query=(value) -> ::String- value (::String) — Query that is used to retrieve this fact.
- (::String) — Query that is used to retrieve this fact.
#score
def score() -> ::Float-
(::Float) — If present, according to the underlying Vector DB and the selected metric
type, the score can be either the distance or the similarity between the
query and the fact and its range depends on the metric type.
For example, if the metric type is COSINE_DISTANCE, it represents the distance between the query and the fact. The larger the distance, the less relevant the fact is to the query. The range is [0, 2], while 0 means the most relevant and 2 means the least relevant.
#score=
def score=(value) -> ::Float-
value (::Float) — If present, according to the underlying Vector DB and the selected metric
type, the score can be either the distance or the similarity between the
query and the fact and its range depends on the metric type.
For example, if the metric type is COSINE_DISTANCE, it represents the distance between the query and the fact. The larger the distance, the less relevant the fact is to the query. The range is [0, 2], while 0 means the most relevant and 2 means the least relevant.
-
(::Float) — If present, according to the underlying Vector DB and the selected metric
type, the score can be either the distance or the similarity between the
query and the fact and its range depends on the metric type.
For example, if the metric type is COSINE_DISTANCE, it represents the distance between the query and the fact. The larger the distance, the less relevant the fact is to the query. The range is [0, 2], while 0 means the most relevant and 2 means the least relevant.
#summary
def summary() -> ::String- (::String) — If present, the summary/snippet of the fact.
#summary=
def summary=(value) -> ::String- value (::String) — If present, the summary/snippet of the fact.
- (::String) — If present, the summary/snippet of the fact.
#title
def title() -> ::String- (::String) — If present, it refers to the title of this fact.
#title=
def title=(value) -> ::String- value (::String) — If present, it refers to the title of this fact.
- (::String) — If present, it refers to the title of this fact.
#uri
def uri() -> ::String- (::String) — If present, this uri links to the source of the fact.
#uri=
def uri=(value) -> ::String- value (::String) — If present, this uri links to the source of the fact.
- (::String) — If present, this uri links to the source of the fact.
#vector_distance
def vector_distance() -> ::Float- (::Float) — If present, the distance between the query vector and this fact vector.
#vector_distance=
def vector_distance=(value) -> ::Float- value (::Float) — If present, the distance between the query vector and this fact vector.
- (::Float) — If present, the distance between the query vector and this fact vector.