Overview
ZeroEntropy delivers the fastest and most accurate agentic retrieval engine on the market. Our ZeroEntropy Rerankers (zerank-1 & zerank-1-small) Boost the precision of any semantic or lexical search system with ZeroEntropy's state-of-the-art rerankers. Our models rescore and reorder results to surface the most relevant answers--reducing noise, improving accuracy, and cutting hallucinations in RAG and AI agents across verticals. Trained with a novel Elo-based pipeline, zerank-1 is an open-weight model, and consistently outperforms Cohere, Salesforce, and even LLM rerankers from Google and OpenAI--delivering higher accuracy at lower latency and cost.
Highlights
- Unmatched reranking accuracy across verticals: legal, manufacturing, financial, medical, STEM, conversational, and code search.
- Proven performance edge - outperforms Cohere rerank-3.5, Salesforce LlamaRank, and LLM rerankers in benchmarks.
- Enterprise-ready - fast API integration, Hugging Face availability of weights, transparent pricing at half the market cost.
Details
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Features and programs
Financing for AWS Marketplace purchases
Pricing
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Dimension | Description | Cost/host/hour |
|---|---|---|
ml.g5.xlarge Inference (Batch) Recommended | Model inference on the ml.g5.xlarge instance type, batch mode | $1.67 |
ml.g5.xlarge Inference (Real-Time) Recommended | Model inference on the ml.g5.xlarge instance type, real-time mode | $1.67 |
ml.g5.2xlarge Inference (Batch) | Model inference on the ml.g5.2xlarge instance type, batch mode | $2.00 |
ml.g5.4xlarge Inference (Batch) | Model inference on the ml.g5.4xlarge instance type, batch mode | $2.69 |
ml.g5.8xlarge Inference (Batch) | Model inference on the ml.g5.8xlarge instance type, batch mode | $3.50 |
ml.g5.12xlarge Inference (Batch) | Model inference on the ml.g5.12xlarge instance type, batch mode | $5.67 |
ml.g5.16xlarge Inference (Batch) | Model inference on the ml.g5.16xlarge instance type, batch mode | $6.79 |
ml.g5.24xlarge Inference (Batch) | Model inference on the ml.g5.24xlarge instance type, batch mode | $8.14 |
ml.g5.48xlarge Inference (Batch) | Model inference on the ml.g5.48xlarge instance type, batch mode | $16.28 |
ml.g5.2xlarge Inference (Real-Time) | Model inference on the ml.g5.2xlarge instance type, real-time mode | $2.00 |
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Please contact support@zeroentropy.dev or ping us on our community slack (via rolling link at the bottom of https://zeroentropy.dev )
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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.
Version release notes
This is our first ever release on AWS Marketplace!
Additional details
Inputs
- Summary
The input to the reranker is a query, a batch of documents to rerank, and (optionally) the number of top results top_n to return.
{ "query": "<string>", "documents": [ "<string>" ], "top_n": <int:optional> }
- Limitations for input type
- For each query-document pair, the cross-encoder will only see the first 8192 tokens before outputting a score. Long documents will therefore be truncated.
- Input MIME type
- application/json
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