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It all boils down to the quality of the embedding models (and also the chunking if texts are exceeding the model's context length). It would probably make sense to retrain this one here on ModernBERT as it shows very promising results! Will maybe take a stab at it in the future.
Nice tool gentlepeople! There is also this one: https://www.text2sdg.io/ It would be cool to learn about differences using different approaches!
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