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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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Jina Embeddings v3

Latest Version:
1.3
New State-of-the-Art Multilingual Embeddings With Task LoRA

    Product Overview

    jina-embeddings-v3 is a multilingual multi-task text embedding model designed for a variety of NLP applications. Based on the Jina-XLM-RoBERTa architecture, this model supports Rotary Position Embeddings to handle long input sequences up to 8192 tokens. Additionally, it features 5 LoRA adapters to generate task-specific embeddings efficiently.

    Key Data

    Version
    Show other versions
    Type
    Model Package
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • Extended Sequence Length: Supports up to 8192 tokens with RoPE .

    • Task-Specific Embedding: Customize embeddings through the task argument with the following options:

      • retrieval.query: Used for query embeddings in asymmetric retrieval tasks
      • retrieval.passage: Used for passage embeddings in asymmetric retrieval tasks
      • separation: Used for embeddings in clustering and re-ranking applications
      • classification: Used for embeddings in classification tasks
      • text-matching: Used for embeddings in tasks that quantify similarity between two texts, such as STS or symmetric retrieval tasks
    • Matryoshka Embeddings : Supports flexible embedding sizes (32, 64, 128, 256, 512, 768, 1024), allowing for truncating embeddings to fit your application.

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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$2.50/hr

    running on ml.g5.xlarge

    Model Batch Transform$2.50/hr

    running on ml.g5.xlarge

    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$1.408/host/hr

    running on ml.g5.xlarge

    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.p2.xlarge
    $2.30
    ml.g4dn.4xlarge
    $4.00
    ml.g4dn.16xlarge
    $14.50
    ml.p2.16xlarge
    $35.00
    ml.p3.16xlarge
    $48.25
    ml.g5.xlarge
    Vendor Recommended
    $2.50
    ml.g5.8xlarge
    $18.25
    ml.g5.12xlarge
    $27.50
    ml.g4dn.2xlarge
    $2.20
    ml.g5.4xlarge
    $9.30
    ml.g5.16xlarge
    $35.00
    ml.p3.8xlarge
    $25.00
    ml.p3.2xlarge
    $7.00
    ml.p2.8xlarge
    $18.00
    ml.g4dn.8xlarge
    $7.60
    ml.g4dn.12xlarge
    $11.25
    ml.g5.2xlarge
    $4.75
    ml.g4dn.xlarge
    $1.50
    ml.g5.48xlarge
    $90.00
    ml.g5.24xlarge
    $52.00

    Usage Information

    Model input and output details

    Input

    Summary

    The model accepts JSON inputs. Texts must be passed in the following format.

    { "data": [ { "text": "How is the weather today?" }, { "text": "What's the color of an orange?" } ], "parameters": { "task": "text-matching", "late_chunking": false, "dimensions": 1024 } }

    Input MIME type
    text/csv
    Sample input data

    Output

    Summary

    A JSON object with an array of IDs, embeddings and usages.

    Output MIME type
    text/csv
    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

    Jina Embeddings v3

    We provide support for this model package through our enterprise support channel.

    AWS Infrastructure

    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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    Refund Policy

    Refunds to be processed under the conditions specified in EULA.

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