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rerank-2-lite

rerank-2-lite

By Voyage AI
Model family: Rerank
rerank-2-lite is a cross-encoder reranker designed for the second stage of two-stage retrieval systems. Given a query and a list of candidate documents from vector or lexical search, it jointly processes each query-document pair to assign precise relevance scores for reranking. Optimized for latency, it delivers quality comparable to rerank-1 at 2.5x lower cost. Supports an 8K-token combined context length per query-document pair, with up to 2,000 tokens for the query. Natively multilingual across 31+ languages, outperforming Cohere multilingual v3 by 6.24% on multilingual retrieval benchmarks across 51 datasets. Accessible via REST API and Python/TypeScript client libraries.
Text Gen 7
Released: September 30, 2024

Overview

rerank-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.

🔍Information retrieval🔍Document search🔍Conceptual search

About Voyage AI

Voyage AI provides best-in-class embedding models and rerankers for search and retrieval over unstructured data, used to power retrieval-augmented generation (RAG) and AI applications. It offers general-purpose, domain-specific (finance, legal, code) and company-specific fine-tuned models. Founded in 2023 and based in Palo Alto, the company was acquired by MongoDB, Inc. in February 2025 and now operates as a MongoDB subsidiary.

Industry: Artificial Intelligence
Location: Palo Alto, California, US
Website: voyageai.com
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Last updated: June 23, 2026
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