SFR-Embedding Model
The SFR-Embedding-Mistral marks a significant advancement in text-embedding models, building upon the solid foundations of E5-mistral-7b-instruct and Mistral-7B-v0.1.
FastEmbed
FastEmbed is a lightweight, fast, Python library built for embedding generation. We support popular text models. Please open a Github issue if you want us to add a new model.
SFR-Embedding Model
| Launched | |
| Pricing Model | Free |
| Starting Price | |
| Tech used | |
| Tag | Text Analysis,Data Analysis |
FastEmbed
| Launched | |
| Pricing Model | Free |
| Starting Price | |
| Tech used | |
| Tag |
SFR-Embedding Model Rank/Visit
| Global Rank | |
| Country | |
| Month Visit |
Top 5 Countries
Traffic Sources
FastEmbed Rank/Visit
| Global Rank | |
| Country | |
| Month Visit |
Top 5 Countries
Traffic Sources
Estimated traffic data from Similarweb
What are some alternatives?
When comparing SFR-Embedding Model and FastEmbed, you can also consider the following products
Mistral AI - Mistral AI is a French AI startup founded by former researchers from Google’s DeepMind and Meta Platforms.
Embaas - embaas offers powerful features like embedding generation, document text extraction, document to emb
Mistral OCR - Unlock document data with Mistral OCR! Fast, accurate API extracts text, tables, equations & more. Multilingual support.
Mistral Large - Mistral Large is our flagship model, with top-tier reasoning capacities. It is also available on Azure.