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KnowledgeBaseVectorSearchConfiguration - Amazon Bedrock
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KnowledgeBaseVectorSearchConfiguration

The configuration details for returning the results from the knowledge base vector search.

Contents

filter

Specifies the filters to use on the metadata fields in the knowledge base data sources before returning results.

Type: RetrievalFilter object

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

Required: No

numberOfResults

The number of text chunks to retrieve; the number of results to return.

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.

Type: String

Valid Values: HYBRID | SEMANTIC

Required: No

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following:

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