SFR-Embedding Model
SFR-Embedding-Mistral 显著提升文本嵌入模型，构建在 E5-mistral-7b-instruct 和 Mistral-7B-v0.1 的坚实基础之上。
Embaas
SFR-Embedding Model
| Launched | |
| Pricing Model | Free |
| Starting Price | |
| Tech used | |
| Tag | Text Analysis,Data Analysis |
Embaas
| Launched | 2023-05 |
| Pricing Model | Free Trial |
| Starting Price | |
| Tech used | Google Analytics,Next.js,Vercel,Progressive Web App,Webpack,HSTS |
| Tag | Data Analysis,Text Analysis,Data Science |
SFR-Embedding Model Rank/Visit
| Global Rank | |
| Country | |
| Month Visit |
Top 5 Countries
Traffic Sources
Embaas Rank/Visit
| Global Rank | 20611427 |
| Country | |
| Month Visit | 5278 |
Top 5 Countries
23.23%
22.57%
15.04%
14.97%
10.98%
Viet Nam
Colombia
India
Chile
Netherlands
Traffic Sources
100%
Search
Estimated traffic data from Similarweb
What are some alternatives?
When comparing SFR-Embedding Model and Embaas, you can also consider the following products
Mistral AI - Mistral AI是一家法国人工智能初创公司，由来自谷歌DeepMind和Meta Platforms的前研究人员创办。
FastEmbed - FastEmbed 是一款轻量、高速的 Python 库，专注于高性能地生成文本嵌入。我们已支持众多主流文本模型。如果您有新的模型需求，欢迎随时在 Github 上提交 issue，我们将积极评估并考虑加入。
Mistral OCR - 利用 Mistral OCR 解锁文档数据！快速、精准的 API 提取文本、表格、公式等内容，并提供多语言支持。
Mistral Large - Mistral Large 是我们的旗舰模型，具备顶尖的推理能力。此外，它还可在 Azure 上使用。