KnowledgeBaseVectorSearchConfiguration

Configurations for how to perform the search query and return results. For more information, see Query configurations.

This data type is used in the following API operations:

Retrieve request – in the vectorSearchConfiguration field
RetrieveAndGenerate request – in the vectorSearchConfiguration field

filter

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

Type: RetrievalFilter object

Note: This object is a Union. Only one member of this object can be specified or returned.

Required: No

implicitFilterConfiguration

Settings for implicit filtering.

Type: ImplicitFilterConfiguration object

Required: No

numberOfResults

The number of source chunks to retrieve.

Type: Integer

Valid Range: Minimum value of 1. Maximum value of 100.

Required: No

overrideSearchType

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.

Type: String

Valid Values: HYBRID | SEMANTIC

Required: No

rerankingConfiguration

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

Type: VectorSearchRerankingConfiguration object

Required: No

KnowledgeBaseVectorSearchConfiguration

Contents

See Also