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Notes
Note
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Introduction
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.
Model
embed-english-light-v2.0
Embed Light is cohere's fastest model, and has the lightest storage requirements. Small embeddings have 768 dimensions.
Disclaimer
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- ID
- Namecohere-text-to-embeddings
- 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 UpdatedOct 17, 2024
- PrivacyPUBLIC
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