Choosing an Embedding Model: Dimensions, Multilinguality, Turkish and Cost
Choose an embedding model by measuring it in your own language on your own question set, not by the leaderboard average: on the same content nomic-embed-text ranked the right section first for 26 of 30 questions in English but only 16 in Turkish. We measure with recall@k and MRR and look at prefixes, Matryoshka dimensions, storage, silent truncation and the risk of old vectors after a model switch, with real output.
8 Nov 2026
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13 min
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6
