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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::RetrieveContextsRequest::VertexRagStore.
The data source for Vertex RagStore.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#rag_resources
def rag_resources() -> ::Array<::Google::Cloud::AIPlatform::V1::RetrieveContextsRequest::VertexRagStore::RagResource>
Returns
- (::Array<::Google::Cloud::AIPlatform::V1::RetrieveContextsRequest::VertexRagStore::RagResource>) — Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.
#rag_resources=
def rag_resources=(value) -> ::Array<::Google::Cloud::AIPlatform::V1::RetrieveContextsRequest::VertexRagStore::RagResource>
Parameter
- value (::Array<::Google::Cloud::AIPlatform::V1::RetrieveContextsRequest::VertexRagStore::RagResource>) — Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.
Returns
- (::Array<::Google::Cloud::AIPlatform::V1::RetrieveContextsRequest::VertexRagStore::RagResource>) — Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.
#vector_distance_threshold
def vector_distance_threshold() -> ::Float
Returns
- (::Float) — Optional. Only return contexts with vector distance smaller than the threshold.
#vector_distance_threshold=
def vector_distance_threshold=(value) -> ::Float
Parameter
- value (::Float) — Optional. Only return contexts with vector distance smaller than the threshold.
Returns
- (::Float) — Optional. Only return contexts with vector distance smaller than the threshold.