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public static interface RagEmbeddingModelConfig.HybridSearchConfigOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
getDenseEmbeddingModelPredictionEndpoint()
public abstract RagEmbeddingModelConfig.VertexPredictionEndpoint getDenseEmbeddingModelPredictionEndpoint()Required. The Vertex AI Prediction Endpoint that hosts the embedding model for dense embedding generations.
.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint dense_embedding_model_prediction_endpoint = 2 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
RagEmbeddingModelConfig.VertexPredictionEndpoint |
The denseEmbeddingModelPredictionEndpoint. |
getDenseEmbeddingModelPredictionEndpointOrBuilder()
public abstract RagEmbeddingModelConfig.VertexPredictionEndpointOrBuilder getDenseEmbeddingModelPredictionEndpointOrBuilder()Required. The Vertex AI Prediction Endpoint that hosts the embedding model for dense embedding generations.
.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint dense_embedding_model_prediction_endpoint = 2 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
RagEmbeddingModelConfig.VertexPredictionEndpointOrBuilder |
|
getSparseEmbeddingConfig()
public abstract RagEmbeddingModelConfig.SparseEmbeddingConfig getSparseEmbeddingConfig()Optional. The configuration for sparse embedding generation. This field is optional the default behavior depends on the vector database choice on the RagCorpus.
.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.SparseEmbeddingConfig sparse_embedding_config = 1 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
RagEmbeddingModelConfig.SparseEmbeddingConfig |
The sparseEmbeddingConfig. |
getSparseEmbeddingConfigOrBuilder()
public abstract RagEmbeddingModelConfig.SparseEmbeddingConfigOrBuilder getSparseEmbeddingConfigOrBuilder()Optional. The configuration for sparse embedding generation. This field is optional the default behavior depends on the vector database choice on the RagCorpus.
.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.SparseEmbeddingConfig sparse_embedding_config = 1 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
RagEmbeddingModelConfig.SparseEmbeddingConfigOrBuilder |
|
hasDenseEmbeddingModelPredictionEndpoint()
public abstract boolean hasDenseEmbeddingModelPredictionEndpoint()Required. The Vertex AI Prediction Endpoint that hosts the embedding model for dense embedding generations.
.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint dense_embedding_model_prediction_endpoint = 2 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the denseEmbeddingModelPredictionEndpoint field is set. |
hasSparseEmbeddingConfig()
public abstract boolean hasSparseEmbeddingConfig()Optional. The configuration for sparse embedding generation. This field is optional the default behavior depends on the vector database choice on the RagCorpus.
.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.SparseEmbeddingConfig sparse_embedding_config = 1 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the sparseEmbeddingConfig field is set. |