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 v2 Base - en
By:
Latest Version:
3.2
Text embedding model (base) for input of size up to 8192 tokens
Product Overview
Jina Embeddings v2 Base model is optimized for highly accurate embeddings - For speed of inference and memory efficiency use the Small model. jina-embeddings-v2-base-en is an open-source English embedding model supporting 8192 sequence length. This state-of-the-art AI embedding model enables many applications, such as document clustering, classification, content personalization, vector search, or retrieval augmented generation.
Key Data
Version
By
Type
Model Package
Highlights
Use-cases: Vector search, retrieval augmented generation, long document clustering, sentiment analysis.
Extended context length: This model uniquely support an 8K context length, enabling them to process and understand larger chunks of data in a single pass, resulting in richer embeddings and more accurate predictions.
Model size: 137M parameters.
High performance over tasks across the board: Our model ranks amongst the top performing ones on HuggingFace’s MTEB leaderboard for embedding models - especially considering its small size and extended context length.
The backbone of this model was pretrained on the C4 dataset. This model is further trained on Jina AI's collection of more than 400 millions of sentence pairs and hard negatives. These pairs were obtained from various domains and were carefully selected through a thorough cleaning process.
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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$1.50/hr
running on ml.g4dn.xlarge
Infrastructure PricingWith 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
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$0.736/host/hr
running on ml.g4dn.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 is the weather like today?"}, {"text": "What's the color of an orange?"} ] }
Input MIME type
text/csvSample input data
Output
Summary
A JSON object with an array of IDs and Embeddings
Output MIME type
text/csvSample output data
Sample notebook
Additional Resources
End User License Agreement
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Support Information
Jina Embeddings v2 Base - en
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.
Learn MoreRefund Policy
Refunds to be processed under the conditions specified in EULA.
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