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Voyage ReRank 2.5

Ready
model path:accounts/fireworks/models/voyage-rerank-2-5
Deploy on demand

Voyage Rerank 2.5 is Voyage AI’s generalist reranker optimized for retrieval quality. It supports a context window of 32K tokens, instruction-following over natural language steering, and multilingual reranking. On 93 retrieval datasets, it improves accuracy by 7.94% over Cohere Rerank v3.5.

Voyage ReRank 2.5 API Features

On-demand Deployment

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On-demand deployments allow you to use Voyage ReRank 2.5 on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.

Metadata

State
Ready
Created on
15 JUN, 2026
Kind
Embedding model
Provider
Voyage AI by MongoDB
Huggingface
voyageai/rerank-2.5

Specifications

Calibrated
No
Mixture-of-Experts
No

Supporting Functionality

Fine-tuning
Not Supported
Serverless
Not Supported
Context Length
32.7k tokens
Function Calling
Not Supported
Embeddings
Supported
Rerankers
Supported
Supporting image input
Not Supported

FAQs

Instruction-following rerankers allow users to guide how relevance should be evaluated using natural language instructions.

For example, a legal search application could instruct the model to prioritize regulatory documents over court cases. A finance application could instruct the model to rank disclosure from the modest recent fiscal quarter above older filings. These instructions help the reranker better align results with user intent.