mixedbread-ai
/

mxbai-embed-large-v1

@@ -2718,7 +2718,7 @@ As of March 2024, our model archives SOTA performance for Bert-large sized model
 | [mxbai-embed-2d-large-v1](https://huggingface.co/mixedbread-ai/mxbai-embed-2d-large-v1)       | 63.25             | 74.14                        | 46.07                    | 85.89                           | 58.94                  | 51.42                   | 84.9              | 31.55                     |
 | [nomic-embed-text-v1](https://huggingface.co/nomic-ai/nomic-embed-text-v1)                    | 62.39             | 74.12                        | 43.91                    | 85.15                           | 55.69                  | 52.81                   | 82.06             | 30.08                     |
 | [jina-embeddings-v2-base-en](https://huggingface.co/jinaai/jina-embeddings-v2-base-en)        | 60.38             | 73.45                        | 41.73                    | 85.38                           | 56.98                  | 47.87                   | 80.7              | 31.6                      |
-| *Commercial Models*                                                                           |                   |                              |                          |                                 |                        |                         |                   |                           |
 | [OpenAI text-embedding-3-large](https://openai.com/blog/new-embedding-models-and-api-updates) | 64.58             | 75.45                        | 49.01                    | 85.72                           | 59.16                  | 55.44                   | 81.73             | 29.92                     |
 | [Cohere embed-english-v3.0](https://txt.cohere.com/introducing-embed-v3/)                     | 64.47             | 76.49                        | 47.43                    | 85.84                           | 58.01                  | 55.00                   | 82.62             | 30.18                     |
 | [OpenAI text-embedding-ada-002](https://openai.com/blog/new-and-improved-embedding-model)     | 60.99             | 70.93                        | 45.90                    | 84.89                           | 56.32                  | 49.25                   | 80.97             | 30.80                     |

 | [mxbai-embed-2d-large-v1](https://huggingface.co/mixedbread-ai/mxbai-embed-2d-large-v1)       | 63.25             | 74.14                        | 46.07                    | 85.89                           | 58.94                  | 51.42                   | 84.9              | 31.55                     |
 | [nomic-embed-text-v1](https://huggingface.co/nomic-ai/nomic-embed-text-v1)                    | 62.39             | 74.12                        | 43.91                    | 85.15                           | 55.69                  | 52.81                   | 82.06             | 30.08                     |
 | [jina-embeddings-v2-base-en](https://huggingface.co/jinaai/jina-embeddings-v2-base-en)        | 60.38             | 73.45                        | 41.73                    | 85.38                           | 56.98                  | 47.87                   | 80.7              | 31.6                      |
+| *Proprietary Models*                                                                          |                   |                              |                          |                                 |                        |                         |                   |                           |
 | [OpenAI text-embedding-3-large](https://openai.com/blog/new-embedding-models-and-api-updates) | 64.58             | 75.45                        | 49.01                    | 85.72                           | 59.16                  | 55.44                   | 81.73             | 29.92                     |
 | [Cohere embed-english-v3.0](https://txt.cohere.com/introducing-embed-v3/)                     | 64.47             | 76.49                        | 47.43                    | 85.84                           | 58.01                  | 55.00                   | 82.62             | 30.18                     |
 | [OpenAI text-embedding-ada-002](https://openai.com/blog/new-and-improved-embedding-model)     | 60.99             | 70.93                        | 45.90                    | 84.89                           | 56.32                  | 49.25                   | 80.97             | 30.80                     |