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    ZeroEntropy zerank-1 Reranker

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    Deployed on AWS
    Free Trial
    zerank-1 is the flagship reranker by ZeroEntropy, trained with a novel Elo-style pipeline that consistently outperforms every other reranker. By boosting both semantic and lexical search, it delivers more accurate answers across legal, medical, technical, financial, and code domains.

    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

    Delivery method

    Latest version

    Deployed on AWS

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    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Free trial

    Try this product free for 7 days according to the free trial terms set by the vendor.

    ZeroEntropy zerank-1 Reranker

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (23)

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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

    Vendor refund policy

    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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    Usage information

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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:
    Deploy the model as an API endpoint for your applications. When you send data to the endpoint, SageMaker processes it and returns results by API response. The endpoint runs continuously until you delete it. You're billed for software and SageMaker infrastructure costs while the endpoint runs. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Deploy models for real-time inference  .
    Deploy the model to process batches of data stored in Amazon Simple Storage Service (Amazon S3). SageMaker runs the job, processes your data, and returns results to Amazon S3. When complete, SageMaker stops the model. You're billed for software and SageMaker infrastructure costs only during the batch job. Duration depends on your model, instance type, and dataset size. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Batch transform for inference with Amazon SageMaker AI  .
    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
    { "query": "what is the first step in making apple jam", "documents": [ "apple stocks were down 1%", "boil apples", "freeze apples", "one rotten apple ruins the basket", "the preserve must be let to cool", "jam to some tunes" ] }
    { "query": "what is the first step in making apple jam", "documents": [ "apple stocks were down 1%", "boil apples", "freeze apples", "one rotten apple ruins the basket", "the preserve must be let to cool", "jam to some tunes" ], "top_n": 3 }

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    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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