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Amazon Sagemaker

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

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Cohere Rerank 2 Model - Multilingual Free trial

By:
Latest Version:
v2.0.3
Rerank will return a sorted list of documents based on the semantic similarity between the query and documents in over 100 languages.

    Product Overview

    Cohere's Rerank endpoint enables you to significantly improve search quality by augmenting traditional key-word based search systems with a semantic-based reranking system which can contextualize the meaning of a user's query beyond keyword relevance. Cohere's Rerank delivers much higher quality results than just embedding-based search, and it requires only adding a single line of code into your application.. The endpoint supports documents and queries written in over 100 languages.

    Key Data

    Type
    Model Package
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • Cohere's Rerank endpoint can be applied to both keyword-based search systems and vector search systems. When using a keyword-based search engine, like Elasticsearch or OpenSearch, the Rerank endpoint can be added to the end of an existing search workflow and will allow users to incorporate semantic relevance into their keyword search system without changing their existing infrastructure. This is an easy and low-complexity method of improving search results by introducing semantic search technology into a user’s stack.

    • This endpoint is powered by our large language model that computes a score for the relevance of the query with each of the initial search results. Compared to embedding-based semantic search, it yields better search results — especially for complex and domain-specific queries.

    • Semantic Search, Ranking, Reranking, Text Embeddings, Multilingual

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    Pricing Information

    Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.

    Contact us to request contract pricing for this product.


    Estimating your costs

    Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.

    Version
    Region

    Software Pricing

    Model Realtime Inference$5.71/hr

    running on ml.g5.xlarge

    Model Batch Transform$6.16/hr

    running on ml.g5.2xlarge

    Infrastructure Pricing

    With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
    Learn more about SageMaker pricing

    SageMaker Realtime Inference$1.408/host/hr

    running on ml.g5.xlarge

    SageMaker Batch Transform$1.515/host/hr

    running on ml.g5.2xlarge

    About Free trial

    Try this product for 7 days. There will be no software charges, but AWS infrastructure charges still apply. Free Trials will automatically convert to a paid subscription upon expiration.

    Model Realtime Inference

    For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.
    InstanceType
    Realtime Inference/hr
    ml.p3.2xlarge
    $15.49
    ml.g5.xlarge
    Vendor Recommended
    $5.71
    ml.g5.2xlarge
    $6.16
    ml.g4dn.xlarge
    $2.98
    ml.g4dn.2xlarge
    $3.81

    Usage Information

    Model input and output details

    Input

    Summary

    The model accepts JSON requests that specifies the input texts to be reranked.

    { "documents": [ {"text":"Carson City is the capital city of the American state of Nevada. "}, {"text" : "उत्तरी मारियाना द्वीप समूह का राष्ट्रमंडल प्रशांत महासागर में द्वीपों का एक समूह है।"}, {"text" : "Washington, DC es la capital de los Estados Unidos."}, ], "query": "What is the capital of the United States?", "top_n": 2, "return_documents": true }

    Input MIME type
    application/json
    Sample input data

    Output

    Summary

    The output is a JSON object of reranked results.

    { "id": "57cc4b9b-f4a1-4e0a-830f-40cfc76c0ba6", "results": [ { "document": { "text": "Washington, DC es la capital de los Estados Unidos." }, "index": 3, "relevance_score": 0.9871293 }, { "document": { "text": "उत्तरी मारियाना द्वीप समूह का राष्ट्रमंडल प्रशांत महासागर में द्वीपों का एक समूह है।" }, "index": 1, "relevance_score": 0.29961726 } ], }

    Output MIME type
    application/json
    Sample output data

    End User License Agreement

    By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)

    Support Information

    Cohere Rerank 2 Model - Multilingual

    Contact us at support+aws@cohere.com.

    AWS Infrastructure

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    Refund Policy

    No refunds.

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