KnowledgeBaseVectorSearchConfiguration
The configuration details for returning the results from the knowledge base vector search.
Types
Properties
Specifies the filters to use on the metadata fields in the knowledge base data sources before returning results.
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.
The number of text chunks to retrieve; the number of results to return.
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.
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.