Improve RAG performance using Cohere Rerank

This article discusses how to improve the performance of Retrieval Augmented Generation (RAG) systems using Cohere Rerank, a reranking model that enhances search accuracy.

Specifically, the article covers:

• The workflow of RAG orchestration, which involves retrieving relevant documents and generating responses using those documents
• Challenges with dense retrieval, a technique used in RAG systems to retrieve relevant documents
• How Cohere Rerank can improve search accuracy by reranking retrieved documents using a deep learning model
• A step-by-step guide for implementing Cohere Rerank 3 on Amazon SageMaker, including subscribing to the model package and creating an endpoint
• Sample code for performing real-time inference with Cohere Rerank on Amazon SageMaker
• Cleanup steps to delete the endpoint and unsubscribe from the model package