I agree about saving the embedings not being a solution. My app compares candidate keywords suggested by the user to existing keywords to see if any of them are sematically similar to the new candidate. So if my persisted embeddings are from before a stealth change and the candidate’s embeddings are calculated after the change then my comparisson will be less precise. And the only solution would be to recalculate all embeddings before each comparison…
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