Google textembedding-gecko
Google textembedding-gecko
Text embedding models convert textual data into numerical vectors that can be processed by machine learning algorithms. The Google textembedding-gecko model features enhanced AI quality, excels in text embeddings, offering strong retrieval performance while being compact.
Model details
| 項目 | Value | 説明 |
|---|---|---|
| Model name | Google textembedding-gecko | The name of the model. |
| API model name | google__textembedding_gecko | The name of the model that is used in the Box AI API for model overrides. The user must provide this exact name for the API to work. |
| Hosting layer | The trusted organization that securely hosts LLM. | |
| Model provider | The organization that provides this model. | |
| Release date | August 2024 | The release date for the model. |
| Knowledge cutoff date | Not applicable | The date after which the model does not get any information updates. |
| Input context window | 8k tokens | The number of tokens supported by the input context window. |
| Maximum output tokens | Not applicable | The number of tokens that can be generated by the model in a single request. |
| Empirical throughput | Not specified | The number of tokens the model can generate per second. |
| Open source | いいえ | Specifies if the model's code is available for public use. |
Additional documentation
For additional information, see official Google textembedding models documentation.