Embedefy Introduction

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

Embedefy Website screenshot

What is Embedefy?

Embeddings are a method of representing data in a multi-dimensional vector space, where the proximity of vectors indicates the degree of similarity between the data points they represent.

How to use Embedefy?

To generate embeddings, submit your textual data to the Embedefy API endpoint, selecting the appropriate model for your needs.