Embed

Uncover trends and patterns in text

Turn text into numerical representations of language for deeper insights at scale. Embed makes it possible to algorithmically categorize and score text quickly to extract meaning.

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Extract insights with an API call

No matter your level of experience with ML/AI, the Cohere Platform makes it easy to integrate language comprehension into your application.

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API Reference

Multiple platforms supported

We support all common languages through native SDK support or encapsulated REST calls, see examples

Large language models

Our models have been trained on billions of words, allowing them to understand nuance and context.

import cohere
co = cohere.Client('{apiKey}')
response = co.embed(
  model='large',
  texts=["When are you open?", "When do you close?", "What are the hours?", "Do you have a vegan option?", "Do you have vegetarian?"])
print('Embeddings: {}'.format(response.embeddings))

How It Works

Embeddings are numerical representations of meaning in text. Because they are numbers, they can be compared to each other for similarity. They can also be plotted on a chart that shows which texts are similar to each other. Large language models produce highly nuanced embeddings.