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rerank-2-lite Reranker

General-purpose reranker optimized for latency & quality with multilingual support. Context length: 8K for queries & docs (2K for queries).

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About

Rerankers are neural networks that predict the relevancy scores between a query and documents and rank them based on the scores. They are used to refine search results in semantic search/retrieval systems and retrieval-augmented generation (RAG). rerank-2-lite is a cutting-edge reranker optimized for latency while still preserving strong quality, improving the accuracy atop OpenAI v3 large by an average of 11.86%—1.7x the improvement attained by the latest Cohere reranker (English v3). rerank-2-lite is also natively multilingual, beating Cohere multilingual v3 by 6.24% on 51 datasets across 31 languages. It supports a 8K-token combined context length for a query-document pair, with up to 2K tokens for the query. Latency is 565 ms for 25K tokens, and throughput is 160M tokens per hour at $0.02 per 1M tokens on an ml.g6.xlarge. Learn more about rerank-2-lite here: https://blog.voyageai.com/2024/09/30/rerank-2/

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