VectorSearchRerankingConfiguration
Configuration for reranking vector search results to improve relevance. Reranking applies additional relevance models to reorder the initial vector search results based on more sophisticated criteria.
Contents
- type
-
The type of reranking to apply to vector search results. Currently, the only supported value is BEDROCK, which uses Amazon Bedrock foundation models for reranking.
Type: String
Valid Values:
BEDROCK_RERANKING_MODELRequired: Yes
- bedrockRerankingConfiguration
-
Configuration for using Amazon Bedrock foundation models to rerank search results. This is required when the reranking type is set to BEDROCK.
Type: VectorSearchBedrockRerankingConfiguration object
Required: No
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
