[Question]: How do machines without GPU use embedding models to parse documents?

[Nuclear6]

Describe your problem

I built the ragflow project on a machine with only CPU. After running it, I found that the uploaded document could be parsed successfully using Tongyi Qianwen's embedding model. Is the embedding model calculated locally or remotely?

Task has been received. Start to parse. Extract Q&A: 642. 38 failure, line: 22,34,53... Finished slicing files(642). Start to embedding the content. Finished embedding(366.5834937430918)! Start to build index! Done!

PS: I haven’t applied for Tongyi Qianwen’s API key either.