VectorSearchBedrockRerankingConfiguration
Configuration for using Amazon Bedrock foundation models to rerank Knowledge Base vector search results. This enables more sophisticated relevance ranking using large language models.
Contents
- modelConfiguration
-
Configuration for the Amazon Bedrock foundation model used for reranking. This includes the model ARN and any additional request fields required by the model.
Type: VectorSearchBedrockRerankingModelConfiguration object
Required: Yes
- metadataConfiguration
-
Configuration for how document metadata should be used during the reranking process. This determines which metadata fields are included when reordering search results.
Type: MetadataConfigurationForReranking object
Required: No
- numberOfRerankedResults
-
The maximum number of results to rerank. This limits how many of the initial vector search results will be processed by the reranking model. A smaller number improves performance but may exclude potentially relevant results.
Type: Integer
Valid Range: Minimum value of 1. Maximum value of 100.
Required: No
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
