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The Embedding model can be used to generate embeddings from text. Embeddings can be used for estimating semantic similarity between two sentences, choosing a sentence which is most likely to follow another sentence, or categorizing user feedback.
Embed Light is cohere's fastest model, and has the lightest storage requirements. Small embeddings have 768 dimensions.
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- Model Type IDText Embedder
- DescriptionCohere's embedding model empowers language generation in LLM, capturing semantic relationships for coherent and contextually relevant text. It enhances generative power, improving the quality of generated content.
- Last UpdatedNov 29, 2023
- Use Case