[larodi]

Potentially useful for paragraph embedding, where... well, paragraphs can grow a lot. Not sure how this model fares in comparison to other embedding engines (yet), but I can definitely tell you mpnet models fare much better for paragraph embeddings than the leader in HF's leaderboard (being thenlper/gte-large at time of writing).

I can guess the Davinci and similar embeddings work better for code than MPNET and it really matters what you are encoding, not only the context length. What features are actually being extracted by the emb.engine.