Mistral Embed
Mistral Embed is Mistral AI's dedicated text embedding model, producing high-quality vector representations for semantic search, retrieval-augmented generation, and text classification. It delivers competitive embedding quality with the added benefit of European data sovereignty.
Mistral Embed is optimized for retrieval workloads, producing embeddings that capture semantic meaning effectively across multiple languages, making it a strong choice for multilingual search and RAG applications.
Key Features
High-quality text embeddings for search and retrieval
Strong multilingual embedding support
Optimized for RAG and semantic search
European data sovereignty compliance
Cost-efficient for batch processing
Ideal Use Cases
Semantic search engines and knowledge bases
Retrieval-augmented generation pipelines
Multilingual content classification
Document similarity and clustering
Technical Specifications
| Modality | Text → Embedding |
| Provider | Mistral |
| Category | Embedding |
| Dimensions | 1024 |
| Multilingual | Yes |
API Usage
1 curl -X POST https://api.vincony.com/v1/chat/completions \ 2 -H "Authorization: Bearer YOUR_API_KEY" \ 3 -H "Content-Type: application/json" \ 4 -d '{ 5 "model": "mistral/mistral-embed", 6 "messages": [ 7 { "role": "user", "content": "Hello, Mistral Embed!" } 8 ] 9 }'
Replace YOUR_API_KEY with your Vincony API key. OpenAI-compatible endpoint — works with any OpenAI SDK.
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