Embedefy Frequently Asked Questions

Embedefy Frequently Asked Questions. Embeddings represent data in a vector space, with the distance between vectors indicating their relatedness.

FAQ from Embedefy

What is Embedefy?

Embeddings are a method of representing data in a vector space, where the proximity of vectors indicates how closely related the data points are.

How to use Embedefy?

Submit your text inputs to the Embedefy API endpoint with a chosen model to get embeddings.

Is your service really free?

Yes, Embedefy provides open-source embeddings at no cost.

Can your API be integrated with other platforms or services?

Yes, the Embedefy API can be seamlessly integrated with various platforms and services.

How can I run the embedding models on my own machines?

Embedding models can be downloaded from HuggingFace and executed on your own hardware.

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