bedrockagentruntime/aws.sdk.kotlin.services.bedrockagentruntime.model/KnowledgeBaseVectorSearchConfiguration/Builder

Builder

Properties

Specifies the filters to use on the metadata in the knowledge base data sources before returning results. For more information, see Query configurations.

implicitFilterConfiguration

var implicitFilterConfiguration: ImplicitFilterConfiguration?

Settings for implicit filtering.

numberOfResults

var numberOfResults: Int

The number of source chunks to retrieve.

overrideSearchType

var overrideSearchType: SearchType?

By default, Amazon Bedrock decides a search strategy for you. If you're using an Amazon OpenSearch Serverless vector store that contains a filterable text field, you can specify whether to query the knowledge base with a HYBRID search using both vector embeddings and raw text, or SEMANTIC search using only vector embeddings. For other vector store configurations, only SEMANTIC search is available. For more information, see Test a knowledge base.

rerankingConfiguration

var rerankingConfiguration: VectorSearchRerankingConfiguration?

Contains configurations for reranking the retrieved results. For more information, see Improve the relevance of query responses with a reranker model.

Functions

implicitFilterConfiguration

fun implicitFilterConfiguration(block: ImplicitFilterConfiguration.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.bedrockagentruntime.model.ImplicitFilterConfiguration inside the given block

rerankingConfiguration

fun rerankingConfiguration(block: VectorSearchRerankingConfiguration.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.bedrockagentruntime.model.VectorSearchRerankingConfiguration inside the given block