Hi, I wanted to ask if there is any documentation or samples on how to use embeddings api search in node js. I want to compare a reference text to a bunch of other texts and sort the most relevant. Would really appreciate any help.
Thanks a lot
If you go to the docs, you can select the language on the top right of the code boxes: https://platform.openai.com/docs/guides/embeddings/what-are-embeddings?lang=node
a search is just going through all the embeddings and calculating the cosine similarity
corpus.map(e => cosim(e.embedding, query.embedding))
sort it, and take the top n (maybe 5? or maybe use a cutoff). those are your search results.
if you have tons of elements, it might make sense to use a vector db, like milvus for example.
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Thanks, yes I’ve seen the list to select the language, it’s just the search example was python only. Thanks again
Mmmh.
If you’re not familiar with python, I do recommend familiarizing yourself with it. That said, asking chatgpt to translate code for you generally works pretty well, especially if you’re dealing with simple examples.
Good luck!
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The problem is I’m more familiar with python than node 
Thanks again!
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