Cohere releases Rerank 5 retrieval model
MarkTechPost: Cohere Releases Rerank 5 With Passage-Level Context Focus and Calibrated Scores
Cohere AI has released Rerank 5, a new reranker family in Pro and Fast tiers. Cohere Rerank 5 is a retrieval model that reorders search results before they reach an LLM. It adds 2 developer features: Context Focus, which returns relevant passages inside each document, and calibrated relevance scores. For RAG and agent builders, the message is simple. Send fewer, better tokens to the LLM. TL;DR Size: Parameter count not disclosed. 32K token context window. Two tiers: rerank-v5.0-pro and r
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A reranker is a retrieval model that reorders search results before they reach a language model, and a new version has been released in two performance tiers. The new release adds two developer features: one that returns relevant passages inside each document, and another that provides calibrated relevance scores that read as probabilities. These features are designed to reduce the amount of text sent to language models, which can improve efficiency for systems that retrieve and process information repeatedly. The reranker is available through multiple deployment options including hosted APIs and cloud platforms, with pricing that varies by performance tier.
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