Text-Embedding-V1 is a multilingual text vector model based on Qwen's LLM foundation, providing high-quality vector services for major global languages. It helps developers convert text data into high-quality vectors efficiently.
Inference Service Provider
The inference service provider for text-embedding-v1 is QwenCloud.
Model Capabilities
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Text | Output Modality | — |
Model Experience | Unsupported | Function Calling | Unsupported |
Structured Outputs | Unsupported | Web Search | Unsupported |
Prefix Completion | Unsupported | Context Caching | Unsupported |
Batch Inference | Unsupported | Fine-tuning | Unsupported |
Context Limits
| Parameter | Value | Parameter | Value |
|---|---|---|---|
Max Input Length | — | Max Output Length | — |
Context Window | — |