rerank-2 and rerank-2-lite: the next generation of Voyage multilingual rerankers

Voyage has introduced the Voyage 2 series of rerankers, rerank-2 and rerank-2-lite, designed to enhance the accuracy and efficiency of retrieval systems by refining search result rankings. These rerankers, when combined with OpenAI's v3 large embedding model, increase accuracy by 13.89% and 11.86%, respectively, significantly surpassing the improvements offered by the latest Cohere reranker. They offer extended context lengths of 16K and 8K tokens, enabling better handling of query-document interactions. Rerank-2 is optimized for quality, while rerank-2-lite focuses on reducing latency while maintaining performance, both supporting multilingual capabilities across 31 languages. Evaluated over 93 domain-specific datasets, these models consistently outperform competitors in various domains, including technical documentation, finance, law, and multilingual contexts. They offer flexible, token-based pricing, and users of previous Voyage rerankers can upgrade to these new models to benefit from improved performance and enhanced context length without additional costs.