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.
Cohere Embed Light v3 - Multilingual Free trial
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Latest Version:
v3.3.11
Cohere provides a multilingual representative AI model, that translates texts and images into numerical vectors that models can understand.
Product Overview
Embed Light translates text and images into numerical vectors that models can understand. The most advanced generative AI apps rely on high-performing embedding models to understand the nuances of user inputs, search results, and documents. Embed Light is a smaller version of Embed with 384 dimensions. This version is also a multilingual model that supports 100+ languages and can be used to search within a language (e.g., search with a French query on French documents) and across languages (e.g., search with a Chinese query on Finnish documents).
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Highlights
Cohere Embed is the market’s leading multimodal (text and images) representation model used for semantic search, retrieval-augmented generation, classification, and clustering. As of Nov 2023, these models achieve state-of-the-art performance among 90+ models on the Massive Text Embedding Benchmark and state-of-the-art performance for zero-shot dense retrieval on BEIR. As of September 2024, these models achieve state-of-the-art performance on a variety of text-to-image retrieval benchmarks in domains such as e-commerce, UI/UX design and templates, and Graphs and Business Documents
Our optimized containers enable low latency inference on a diverse set of hardware accelerators available on AWS providing different cost and performance points for SageMaker customers.
Embeddings, Semantic Search, Retrieval-Augmented Generation (RAG), Text Classification, Clustering, 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$19.80/hr
running on ml.g4dn.12xlarge
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$4.89/host/hr
running on ml.g4dn.12xlarge
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 text or a data url of a base64 encoded image to be embedded. The model does not accept both text and images in the same request.
{ "texts": [ "hello", "goodbye" ], "input_type": "search_query", "truncate": "END" }
// OR for images { "images": [ "data:image/png;base64,/9j/4betRXhpZgA....."//Some image converted to base64 and formated as a data url ], "input_type": "search_query", "truncate": "END" }
Input MIME type
application/jsonSample input data
Output
Summary
The output is a JSON object that has an array of embeddings for the input texts or meta data around the original image
// Texts { "id": "bc57846a-3e56-4327-8acc-588ca1a37b8a", "texts": [ "hello world" ], "embeddings": [ [ -0.039520264, -0.04574585, ... ] ],
// Image { "id": "7d6504dc-3d67-4c77-83ad-9af6600ed411", "images": [ { "width": 400, "height": 400, "format": "jpeg", "bit_depth": 24 } ], "embeddings": { [...] } }
Output MIME type
application/jsonSample output data
Sample notebook
Additional Resources
End User License Agreement
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Support Information
Cohere Embed Light v3 - Multilingual
Contact us at support+aws@cohere.com or join our Discord community at https://discord.com/invite/co-mmunity
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
No refunds. Please contact support+aws@cohere.com for further assistance.
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