Haven't looked at the code, but it's unclear from your ReadMe how you turn search queries into embeddings for the semantic search itself. In my experience, this is the problem to solve for local semantic search, since your stored embeddings need to be aligned with the queries (the more expressive your stored embeddings, the more expensive each query will be; your question generation pipeline does not address this). Correct me if I'm wrong though.

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