bedrockagent/aws.sdk.kotlin.services.bedrockagent.model/VectorKnowledgeBaseConfiguration

VectorKnowledgeBaseConfiguration

class VectorKnowledgeBaseConfiguration

Contains details about the model used to create vector embeddings for the knowledge base.

Types

Builder

class Builder

Companion

object Companion

Properties

embeddingModelArn

val embeddingModelArn: String

The Amazon Resource Name (ARN) of the model used to create vector embeddings for the knowledge base.

embeddingModelConfiguration

val embeddingModelConfiguration: EmbeddingModelConfiguration?

The embeddings model configuration details for the vector model used in Knowledge Base.

supplementalDataStorageConfiguration

val supplementalDataStorageConfiguration: SupplementalDataStorageConfiguration?

If you include multimodal data from your data source, use this object to specify configurations for the storage location of the images extracted from your documents. These images can be retrieved and returned to the end user. They can also be used in generation when using RetrieveAndGenerate.

Functions

copy

inline fun copy(block: VectorKnowledgeBaseConfiguration.Builder.() -> Unit = {}): VectorKnowledgeBaseConfiguration

equals

open operator override fun equals(other: Any?): Boolean

hashCode

open override fun hashCode(): Int

toString

open override fun toString(): String