Rerank models
Browse all models from this model family.
ID
Model
Company
Type
Primary task
Open source
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By Caldera LabsReRank 4 is Cohere's latest cross-encoder reranking model for enterprise search and RAG, with 32K token context, Fast and Pro tiers, and self-learning to adapt relevance while reordering retrieved documents by semantic similarity.TextReleased 6mo ago
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By Caldera LabsRerank 3.5 is a high-accuracy cross-encoder reranking model for search and RAG. It re-scores candidate passages or documents given a query, boosting precision at the top of the results and improving answer quality downstream.TextReleased 1y ago
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By Voyage AIrerank-2-lite is a lightweight multilingual cross-encoder reranker from Voyage AI. It scores and reorders candidate documents by relevance to a query, optimized for low latency while maintaining strong retrieval quality. Supports an 8K-token combined context length per query-document pair and natively handles 31+ languages.TextReleased 1y ago
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