public sealed class RagEmbeddingModelConfig : IMessage<RagEmbeddingModelConfig>, IEquatable<RagEmbeddingModelConfig>, IDeepCloneable<RagEmbeddingModelConfig>, IBufferMessage, IMessageReference documentation and code samples for the Cloud AI Platform v1beta1 API class RagEmbeddingModelConfig.
Config for the embedding model to use for RAG.
Implements
IMessageRagEmbeddingModelConfig, IEquatableRagEmbeddingModelConfig, IDeepCloneableRagEmbeddingModelConfig, IBufferMessage, IMessageNamespace
Google.Cloud.AIPlatform.V1Beta1Assembly
Google.Cloud.AIPlatform.V1Beta1.dll
Constructors
RagEmbeddingModelConfig()
public RagEmbeddingModelConfig()RagEmbeddingModelConfig(RagEmbeddingModelConfig)
public RagEmbeddingModelConfig(RagEmbeddingModelConfig other)| Parameter | |
|---|---|
| Name | Description |
other |
RagEmbeddingModelConfig |
Properties
HybridSearchConfig
public RagEmbeddingModelConfig.Types.HybridSearchConfig HybridSearchConfig { get; set; }Configuration for hybrid search.
| Property Value | |
|---|---|
| Type | Description |
RagEmbeddingModelConfigTypesHybridSearchConfig |
|
ModelConfigCase
public RagEmbeddingModelConfig.ModelConfigOneofCase ModelConfigCase { get; }| Property Value | |
|---|---|
| Type | Description |
RagEmbeddingModelConfigModelConfigOneofCase |
|
VertexPredictionEndpoint
public RagEmbeddingModelConfig.Types.VertexPredictionEndpoint VertexPredictionEndpoint { get; set; }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.
| Property Value | |
|---|---|
| Type | Description |
RagEmbeddingModelConfigTypesVertexPredictionEndpoint |
|