Cohere’s Embed Models (Details and Application)
Cohere’s Embed Models (Details and Application)
docsCohere’s Embed Models (Details and Application)
Embed models can be used to generate embeddings from text or classify it based on various parameters. Embeddings can be used for estimating semantic similarity between two texts, choosing a sentence which is most likely to follow another sentence, or categorizing user feedback. When used with the Classify endpoint, embeddings can be used for any classification or analysis task.
Our multilingual embed model supports over 100 languages, including Chinese, Spanish, and French.
You can find the context length for various Cohere embeddings models in the tables above. It’s in the “Max Tokens (Context Length)” column.