Voyage AI Launches Rerank-2: A New Standard for Retrieval

Voyage AI has released Rerank-2, their next-generation reranking model that establishes new benchmarks across multiple retrieval tasks.

Key Improvements

The new model offers significant improvements over its predecessor:

15% better MRR

on standard retrieval benchmarks

Improved latency

with optimized inference

Better handling of long documents

up to 8K tokens

Domain-specific variants

for legal and technical content

What This Means for RAG Systems

Reranking is a critical component of production RAG systems. Better reranking directly translates to more relevant responses and fewer retrieval failures.

At SmartFAQs.ai, we've integrated Voyage Rerank-2 into our pipeline, and early results show measurable improvements in answer quality.

Getting Started

Voyage Rerank-2 is available today through the Voyage AI API. Existing customers can upgrade by changing their model parameter.