Apparently a 10-K is a detailed financial report for US public companies https://www.investopedia.com/terms/1/10-k.asp

How is the similarity score calculated? Nike and Google have about the same similarity score relative to Apple.

I embed descriptions using Open AI's "text-embedding-ada-002" embedding model[0]. Then I use cosign similarity to find the closest embeddings to that of the selected company[1].

[0]https://platform.openai.com/docs/guides/embeddings/embedding...

[1]https://scikit-learn.org/stable/modules/generated/sklearn.me...

It is a great idea. I think the algorithm needs some work though. Probably some guidance to the LLM could pick out attributes you could use to form a “vector” to answer questions as “what sector is this company in?”, “describe their main customer” etc. Would get expensive though perhaps.