Discovery Engine V1BETA API - Class Google::Cloud::DiscoveryEngine::V1beta::SearchRequest::EmbeddingSpec (v0.7.0)

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Reference documentation and code samples for the Discovery Engine V1BETA API class Google::Cloud::DiscoveryEngine::V1beta::SearchRequest::EmbeddingSpec.

The specification that uses customized query embedding vector to do semantic document retrieval.

Inherits

• Object

Extended By

• Google::Protobuf::MessageExts::ClassMethods

Includes

• Google::Protobuf::MessageExts

Methods

#embedding_vectors

def embedding_vectors() -> ::Array<::Google::Cloud::DiscoveryEngine::V1beta::SearchRequest::EmbeddingSpec::EmbeddingVector>

Returns

• (::Array<::Google::Cloud::DiscoveryEngine::V1beta::SearchRequest::EmbeddingSpec::EmbeddingVector>) — The embedding vector used for retrieval. Limit to 1.

#embedding_vectors=

def embedding_vectors=(value) -> ::Array<::Google::Cloud::DiscoveryEngine::V1beta::SearchRequest::EmbeddingSpec::EmbeddingVector>

Parameter

• value (::Array<::Google::Cloud::DiscoveryEngine::V1beta::SearchRequest::EmbeddingSpec::EmbeddingVector>) — The embedding vector used for retrieval. Limit to 1.

Returns

• (::Array<::Google::Cloud::DiscoveryEngine::V1beta::SearchRequest::EmbeddingSpec::EmbeddingVector>) — The embedding vector used for retrieval. Limit to 1.