According to OpenAI, "embeddings are numerical representations of concepts converted to number sequences, which make it easy for computers to understand the relationships between those concepts."
They introduced a new text and code embeddings API endpoint in January 25, 20221 capable of measuring the relatedness of text strings.
Here's a list of common uses of text embeddings, as listed in OpenAI's documentation.
I look forward to testing this API on my writing to see how well it recommends, classifies, and clusters my mini-essays.
Text and Code Embeddings by Contrastive Pre-Training. OpenAI. Jan 25, 2022. ↩