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Bedrock Agent Runtime  >  Structures  >  KnowledgeBaseVectorSearchConfiguration

KnowledgeBaseVectorSearchConfiguration

Structure Class

KnowledgeBaseVectorSearchConfiguration dataclass

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:

Attributes

filter class-attribute instance-attribute 
filter: RetrievalFilter | None = field(repr=False, default=None)

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

implicit_filter_configuration class-attribute instance-attribute 
implicit_filter_configuration: ImplicitFilterConfiguration | None = None

Settings for implicit filtering.

number_of_results class-attribute instance-attribute 
number_of_results: int = 5

The number of source chunks to retrieve.

override_search_type class-attribute instance-attribute 
override_search_type: SearchType | None = None

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.

reranking_configuration class-attribute instance-attribute 
reranking_configuration: VectorSearchRerankingConfiguration | None = None

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