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public interface RagEmbeddingModelConfigOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
getHybridSearchConfig()
public abstract RagEmbeddingModelConfig.HybridSearchConfig getHybridSearchConfig()Configuration for hybrid search.
.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfig hybrid_search_config = 2;
| Returns | |
|---|---|
| Type | Description |
RagEmbeddingModelConfig.HybridSearchConfig |
The hybridSearchConfig. |
getHybridSearchConfigOrBuilder()
public abstract RagEmbeddingModelConfig.HybridSearchConfigOrBuilder getHybridSearchConfigOrBuilder()Configuration for hybrid search.
.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfig hybrid_search_config = 2;
| Returns | |
|---|---|
| Type | Description |
RagEmbeddingModelConfig.HybridSearchConfigOrBuilder |
|
getModelConfigCase()
public abstract RagEmbeddingModelConfig.ModelConfigCase getModelConfigCase()| Returns | |
|---|---|
| Type | Description |
RagEmbeddingModelConfig.ModelConfigCase |
|
getVertexPredictionEndpoint()
public abstract RagEmbeddingModelConfig.VertexPredictionEndpoint getVertexPredictionEndpoint()The Vertex AI Prediction Endpoint that either refers to a publisher model or an endpoint that is hosting a 1P fine-tuned text embedding model. Endpoints hosting non-1P fine-tuned text embedding models are currently not supported. This is used for dense vector search.
.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint vertex_prediction_endpoint = 1;
| Returns | |
|---|---|
| Type | Description |
RagEmbeddingModelConfig.VertexPredictionEndpoint |
The vertexPredictionEndpoint. |
getVertexPredictionEndpointOrBuilder()
public abstract RagEmbeddingModelConfig.VertexPredictionEndpointOrBuilder getVertexPredictionEndpointOrBuilder()The Vertex AI Prediction Endpoint that either refers to a publisher model or an endpoint that is hosting a 1P fine-tuned text embedding model. Endpoints hosting non-1P fine-tuned text embedding models are currently not supported. This is used for dense vector search.
.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint vertex_prediction_endpoint = 1;
| Returns | |
|---|---|
| Type | Description |
RagEmbeddingModelConfig.VertexPredictionEndpointOrBuilder |
|
hasHybridSearchConfig()
public abstract boolean hasHybridSearchConfig()Configuration for hybrid search.
.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfig hybrid_search_config = 2;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the hybridSearchConfig field is set. |
hasVertexPredictionEndpoint()
public abstract boolean hasVertexPredictionEndpoint()The Vertex AI Prediction Endpoint that either refers to a publisher model or an endpoint that is hosting a 1P fine-tuned text embedding model. Endpoints hosting non-1P fine-tuned text embedding models are currently not supported. This is used for dense vector search.
.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint vertex_prediction_endpoint = 1;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the vertexPredictionEndpoint field is set. |