Sold by: Cohere
Deployed on AWS
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Embed is a powerful tool that enables machines to comprehend and process text and images by converting them into numerical vectors. These vectors, with their 1024 dimensions, provide a comprehensive representation, allowing advanced AI applications to grasp the intricacies of user interactions, search queries, and document content.
One of its standout features is its multilingual capability, supporting over 100 languages. This enables cross-lingual searches, a valuable asset for global businesses and users seeking information across different language barriers.
Overview
Embed 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. This Embed model has 1024 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). Embed 3 is able to encode images to embeddings, images and texts must be encoded in separate requests. Added a new input type called images. Added a new parameter called images which accepts a data url of a base64 encoded png, jpeg, webp and gif, at this time, we only accept a single image per request.
Highlights
- Cohere Embed is the leading multimodal (text and images) representation model used for semantic search, retrieval-augmented generation (RAG), classification, and clustering. 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 Bedrock customers.
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Deployed on AWS
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Dimension | Description | Cost/unit |
|---|---|---|
Price per 1 million input tokens | Price per 1 million input tokens | $0.10 |
Price per 1 million input tokens | Price per 1 million input tokens | $0.10 |
Price per 1 million input tokens | Price per 1 million input tokens | $0.10 |
Price per 1 image | Price per 1 million input tokens | $0.10 |
Price per 1 million input tokens | Price per 1 million input tokens | $0.10 |
Provisioned Throughput Hourly Price (6 Months Commit) | Provisioned Throughput Hourly Price (6 Months Commit) | $6.41 |
Provisioned Throughput Hourly Price (1 Month Commit) | Provisioned Throughput Hourly Price (1 Month Commit) | $6.76 |
Provisioned Throughput Hourly Price (No Commit) | Provisioned Throughput Hourly Price (No Commit) | $7.12 |
Provisioned Throughput Hourly Price (1 Month Commit) | Provisioned Throughput Hourly Price (1 Month Commit) | $6.76 |
Price per 1 million input tokens | Price per 1 million input tokens | $0.10 |
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No refunds. Please contact support+aws@cohere.com for further assistance.
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Contact us at support+aws@cohere.com
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