Cloud AI Platform v1beta1 API - Class RagEmbeddingModelConfig (1.0.0-beta11)

public sealed class RagEmbeddingModelConfig : IMessage<RagEmbeddingModelConfig>, IEquatable<RagEmbeddingModelConfig>, IDeepCloneable<RagEmbeddingModelConfig>, IBufferMessage, IMessage

Reference documentation and code samples for the Cloud AI Platform v1beta1 API class RagEmbeddingModelConfig.

Config for the embedding model to use for RAG.

Inheritance

object > RagEmbeddingModelConfig

Implements

IMessage RagEmbeddingModelConfig, IEquatable RagEmbeddingModelConfig, IDeepCloneable RagEmbeddingModelConfig, IBufferMessage, IMessage

Inherited Members

object.GetHashCode()

object.GetType()

object.ToString()

Namespace

Google.Cloud.AIPlatform.V1Beta1

Assembly

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`