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Reranking search results tutorials

Learn how to improve search relevance by reranking results using ML models like Cohere Rerank and Amazon Bedrock. Reranking reorders initial search results based on semantic similarity to the query. For more information about reranking, see Reranking search results.

Reranking search results using Cohere Rerank

  • Platform: OpenSearch
  • Model: Cohere Rerank
  • Deployment: Provider API

Reranking search results using Cohere Rerank on Amazon Bedrock

  • Platform: OpenSearch, Amazon OpenSearch Service
  • Model: Cohere Rerank
  • Deployment: Amazon Bedrock

Reranking search results using Amazon Bedrock models

  • Platform: OpenSearch
  • Model: Amazon Bedrock reranker models
  • Deployment: Amazon Bedrock

Reranking search results using a cross-encoder in Amazon SageMaker

  • Platform: OpenSearch
  • Model: Hugging Face MS MARCO
  • Deployment: Amazon SageMaker

Reranking search results using a reranker in Amazon SageMaker

  • Platform: OpenSearch, Amazon OpenSearch Service
  • Model: Hugging Face BAAI/bge-reranker
  • Deployment: Amazon SageMaker

Reranking search results by a field

  • Platform: OpenSearch, Amazon OpenSearch Service
  • Model: Cohere Rerank
  • Deployment: Provider API
  • Explore the broader Search quality toolkit, which includes User Behavior Insights, Learning to Rank, Search Relevance Workbench, and query rewriting features.
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