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The configuration details for returning the results from the knowledge base vector search.
Namespace: Amazon.Bedrock.Model
Assembly: AWSSDK.Bedrock.dll
Version: 3.x.y.z
public class KnowledgeBaseVectorSearchConfiguration
The KnowledgeBaseVectorSearchConfiguration type exposes the following members
Name | Description | |
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KnowledgeBaseVectorSearchConfiguration() |
Name | Type | Description | |
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Filter | Amazon.Bedrock.Model.RetrievalFilter |
Gets and sets the property Filter. Specifies the filters to use on the metadata fields in the knowledge base data sources before returning results. |
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ImplicitFilterConfiguration | Amazon.Bedrock.Model.ImplicitFilterConfiguration |
Gets and sets the property ImplicitFilterConfiguration. Configuration for implicit filtering in Knowledge Base vector searches. This allows the system to automatically apply filters based on the query context without requiring explicit filter expressions. |
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NumberOfResults | System.Int32 |
Gets and sets the property NumberOfResults. The number of text chunks to retrieve; the number of results to return. |
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OverrideSearchType | Amazon.Bedrock.SearchType |
Gets and sets the property 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 |
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RerankingConfiguration | Amazon.Bedrock.Model.VectorSearchRerankingConfiguration |
Gets and sets the property RerankingConfiguration. Configuration for reranking search results in Knowledge Base vector searches. Reranking improves search relevance by reordering initial vector search results using more sophisticated relevance models. |
.NET:
Supported in: 8.0 and newer, Core 3.1
.NET Standard:
Supported in: 2.0
.NET Framework:
Supported in: 4.5 and newer, 3.5