by Cohere
Cohere Rerank v3.5 is a cross-encoder model designed for high-precision search and retrieval-augmented generation (RAG). It specializes in reranking documents based on relevance to a user query, improving the accuracy of search results in enterprise and multilingual applications. The model supports 100+ languages and is optimized for complex queries involving constraints, structured data, and metadata. It is available via Cohere’s API, Amazon Bedrock, and Amazon SageMaker.
Weighted across four pillars · updated July 3, 2026
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