Sold by: MongoDB, Inc
Deployed on AWS
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General-purpose reranker with instruction following optimized for quality. Context length: 32K for queries & documents (8K for queries).
Overview
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-2.5 is a cutting-edge reranker optimized for quality, delivering a 7.94% improvement in retrieval accuracy over Cohere Rerank v3.5 across 93 datasets. It also outperformed Cohere Rerank v3.5 by 12.70% on the Massive Instructed Retrieval Benchmark (MAIR). The model supports a combined context length of 32K tokens per query-document pair, including up to 8K tokens for the query, enabling more accurate retrieval over longer documents. Additionally, rerank-2.5 supports instruction following, allowing users to guide relevance scoring through natural language prompts.
Learn more about rerank-2.5 here: https://blog.voyageai.com/2025/08/11/rerank-2-5
Highlights
- Optimized for quality, delivering a 7.94% improvement in retrieval accuracy over Cohere Rerank v3.5 across 93 datasets.
- Supports a combined context length of 32K tokens per query-document pair, including up to 8K tokens for the query, enabling more accurate retrieval over longer documents.
- Supports instruction following, allowing users to guide relevance scoring through natural language prompts.
Details
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Pricing
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Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.g5.2xlarge Inference (Batch) Recommended | Model inference on the ml.g5.2xlarge instance type, batch mode | $3.03 |
ml.p4d.24xlarge Inference (Real-Time) Recommended | Model inference on the ml.p4d.24xlarge instance type, real-time mode | $35.92 |
ml.g5.2xlarge Inference (Real-Time) | Model inference on the ml.g5.2xlarge instance type, real-time mode | $3.03 |
ml.g5.4xlarge Inference (Real-Time) | Model inference on the ml.g5.4xlarge instance type, real-time mode | $4.06 |
ml.g5.8xlarge Inference (Real-Time) | Model inference on the ml.g5.8xlarge instance type, real-time mode | $6.12 |
ml.g5.xlarge Inference (Real-Time) | Model inference on the ml.g5.xlarge instance type, real-time mode | $2.82 |
ml.g6.2xlarge Inference (Real-Time) | Model inference on the ml.g6.2xlarge instance type, real-time mode | $2.44 |
ml.g6.4xlarge Inference (Real-Time) | Model inference on the ml.g6.4xlarge instance type, real-time mode | $3.31 |
ml.g6.8xlarge Inference (Real-Time) | Model inference on the ml.g6.8xlarge instance type, real-time mode | $5.04 |
ml.g6.xlarge Inference (Real-Time) | Model inference on the ml.g6.xlarge instance type, real-time mode | $2.25 |
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Refunds to be processed under the conditions specified in EULA. Please contact aws-marketplace@mongodb.com for further assistance.
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Performance improvements with multi-GPU machines.
Additional details
Inputs
- Summary
- query (string) – Query text (max 4K tokens).
- documents (List[string]) – Documents to rerank (max 1,000 documents).
- top_k (int, optional) – Number of most relevant documents to return.
- truncation (bool, optional, default = true) – Truncate inputs exceeding context length.
- Limitations for input type
- Maximum context length: 32,000 tokens. Truncation is required if inputs exceed this limit.
- Input MIME type
- application/json
https://github.com/voyage-ai/voyageai-aws/blob/main/sample_reranker_input.json
https://github.com/voyage-ai/voyageai-aws/blob/main/sample_reranker_input.json
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
query | Query text (max 4K tokens). | Type: string | Yes |
documents | Documents to rerank (max 1,000 documents). | Type: List[string] | Yes |
top_k | Number of most relevant documents to return. | Type: int | No |
truncation | Truncate inputs exceeding context length (default = true) | Type: bool | No |
Support
Vendor support
Please email us at aws-marketplace@mongodb.com for inquiries and customer support. Configuration Guide: https://docs.voyageai.com/docs/aws-marketplace-mongodb voyage API Reference:
AWS infrastructure support
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