Cohere Embed v3
Shares tags: build, models & apis, embeddings
AI Tool
Unlock the Power of Multimodal Semantic Retrieval
Cohere Embed v3: Your Gateway to Enhanced Language Understanding
Multi-lingual embeddings supporting over 100 languages for seamless global reach.Process both text and image inputs via a single API with state-of-the-art performance.Ideal for enterprise applications in semantic search, knowledge management, and generative AI.
Tags
BuildModels & APIsEmbeddings
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overview
Introducing Cohere Embed v3
Cohere Embed v3 revolutionizes the way you interact with language models by offering robust multimodal embeddings for both text and images. With unprecedented multilingual support and an intuitive API, it's designed for teams aiming to integrate advanced semantic capabilities into their projects.
- Seamless integration of text and image data.
- Enhanced performance for enterprise-level applications.
- Tuned for high accuracy in retrieval and search tasks.
features
Powerful Features for High-Performance Applications
Cohere Embed v3 boasts exceptional features that cater specifically to the needs of developers and enterprise users. From high-dimensional embeddings to flexible input limits, the model empowers sophisticated language processing and retrieval capabilities.
- 1,024-dimensional vector size for precise embeddings.
- Support for RAG, classification, and clustering.
- Ability to handle up to 128,000 tokens per embedding.
use_cases
Transform Your Application with Cohere Embed v3
Cohere Embed v3 is tailored for a variety of high-stakes applications, whether it's optimizing search functionalities or enhancing generative AI pipelines. Its multimodal capabilities allow for natural handling of both textual and visual data.
- Knowledge management with enriched semantic search.
- Search and retrieval across diverse languages.
- Advanced multimodal solutions for innovative projects.
Frequently Asked Questions
What type of inputs can I use with Cohere Embed v3?
Cohere Embed v3 supports both text and image inputs, with the image inputs being API-only and requiring base64-encoded formats.
How many languages does Cohere Embed v3 support?
Cohere Embed v3 supports semantic search and retrieval across over 100 languages, enhancing multilingual capabilities for diverse applications.
What is the maximum size for image embeddings?
Each image embedding request can process one image file with a maximum size of 5MB, supporting formats like .png, .jpeg, .webp, and .gif.