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 Colbert v2 - 128 dimensions
By:
Latest Version:
1.0
ColBERT multi-vector embedding model for multilingual text input of size up to 8192 tokens
Product Overview
jina-colbert-v2 is an open-source multilingual ColBERT-style embedding model supporting 8192 sequence length. This model produces vectors of size 128 for tokens in input documents. ColBERT (Contextualized Late Interaction over BERT) leverages the deep language understanding of BERT while introducing a novel interaction mechanism. This mechanism, known as late interaction, allows for efficient and precise retrieval by processing queries and documents separately until the final stages of the retrieval process. 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
Trained from scratch with support for 89 major world languages.
Matryoshka embeddings, which allow users to trade between efficiency and precision flexibly.
Ability to process significantly longer contexts (up to 8192 tokens) compared to the original ColBERT. This capability is crucial for handling documents with extensive content, providing more detailed and contextual search results.
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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 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$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.g5.xlarge Vendor Recommended | $2.50 | |
ml.g5.8xlarge | $18.25 | |
ml.g5.12xlarge | $27.50 | |
ml.g5.2xlarge | $4.75 | |
ml.g5.4xlarge | $9.30 | |
ml.g5.48xlarge | $90.00 | |
ml.g5.16xlarge | $35.00 | |
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?" } ], "parameters": { "input_type": "document" } }
Input MIME type
text/csvSample input data
Output
Summary
A JSON object with an array of IDs and Embeddings with the usage.
Output MIME type
text/csvSample output data
Sample notebook
End User License Agreement
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Support Information
Jina Colbert v2 - 128 dimensions
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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