bedrock/aws.sdk.kotlin.services.bedrock.model/VectorSearchBedrockRerankingConfiguration

VectorSearchBedrockRerankingConfiguration

class VectorSearchBedrockRerankingConfiguration

Configuration for using Amazon Bedrock foundation models to rerank Knowledge Base vector search results. This enables more sophisticated relevance ranking using large language models.

Types

Builder

class Builder

Companion

object Companion

Properties

metadataConfiguration

val metadataConfiguration: MetadataConfigurationForReranking?

Configuration for how document metadata should be used during the reranking process. This determines which metadata fields are included when reordering search results.

modelConfiguration

val modelConfiguration: VectorSearchBedrockRerankingModelConfiguration?

Configuration for the Amazon Bedrock foundation model used for reranking. This includes the model ARN and any additional request fields required by the model.

numberOfRerankedResults

val numberOfRerankedResults: Int?

The maximum number of results to rerank. This limits how many of the initial vector search results will be processed by the reranking model. A smaller number improves performance but may exclude potentially relevant results.

Functions

copy

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

equals

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

hashCode

open override fun hashCode(): Int

toString

open override fun toString(): String