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#Reranking — 2 articles ✕

Models· Important· 🧪 Worth Testing

Cohere releases Rerank 5 with passage-level retrieval and calibrated scores

Cohere launched Rerank 5, its newest enterprise reranking models, in Pro and Fast tiers. Rerank 5 Pro leads major public benchmarks including BRIGHT, ViDoRe V3, BEIR and nanoMTEB, while Rerank 5 Fast offers near-leading quality at lower cost and higher throughput. The release introduces Context Focus, which returns the most relevant text spans within documents rather than whole documents, and calibrated relevance scores that read as probabilities across models and domains.

2 hours agoCohere

Models· Important· 🧪 Worth Testing

NVIDIA expands Nemotron with new retrieval, reranking and document-parsing models for AI agents

NVIDIA has added three new open, commercially licensed components to its Nemotron Retriever lineup: Embed models (8B and 1B, in BF16 and NVFP4) for searching text and images, a Rerank model (8B) that reorders retrieved evidence by relevance, and a compact 631M Parse model that converts document images into structured text. The goal is to feed AI agents with better, more relevant evidence so they need fewer search rounds and fewer inference tokens to answer a question. NVIDIA reports the new Embed and Rerank models top the ViDoRe v3.1 leaderboards for dense retrieval and reranking respectively.

6 hours agoHugging Face