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This repo contains the tokenizer and evaluation results of the `voyage-3-m-exp` embedding model. `voyage-3-m-exp` is an intermediate snapshot of voyage general-purpose embeddings that are tailored to datasets similar to MTEB. The training sets of MTEB datasets are used in training `voyage-3-m-exp`.
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We note that for production use cases, `voyage-3-large` is highly recommended and likey strictly better than `voyage-3-m-exp`. Please see the [blogpost](https://blog.voyageai.com/2025/01/07/voyage-3-large) for more information about `voyage-3-large
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`voyage-3-m-exp` can be accessed via the [Voyage API](https://docs.voyageai.com/docs/embeddings) with the model name `"voyage-3-m-exp"`.
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This repo contains the tokenizer and evaluation results of the `voyage-3-m-exp` embedding model. `voyage-3-m-exp` is an intermediate snapshot of voyage general-purpose embeddings that are tailored to datasets similar to MTEB. The training sets of MTEB datasets are used in training `voyage-3-m-exp`.
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**We note that for production use cases, `voyage-3-large` is highly recommended and likey strictly better than `voyage-3-m-exp`. Please see the [blogpost](https://blog.voyageai.com/2025/01/07/voyage-3-large) for more information about `voyage-3-large`.**
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`voyage-3-m-exp` can be accessed via the [Voyage API](https://docs.voyageai.com/docs/embeddings) with the model name `"voyage-3-m-exp"`.
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