v0.1.7
Vexa-ai/vexav0.1.7Jan 16, 2026by chonknick
Upgrading?
AI Summary
This release introduces support for the new Voyage 4 family of embedding models, featuring flagship, mid-sized, and lightweight options, alongside advanced capabilities like a 32k token context window and flexible dimensions.
Key Highlights
- Added support for Voyage 4 embedding models (large, balanced, lite, nano)
- 32,000 token context window support
- Flexible dimensions via Matryoshka learning
- Support for multiple quantization formats (float, int8, binary)
New Features
- Voyage 4 embedding model integration
- 32k token context support
- Flexible dimensions
- Multiple quantization formats
Full Release Notes
## What's New - Added support for Voyage 4 embedding models: - `voyage-4-large` - Flagship MoE model, #1 on MTEB (78.26) - `voyage-4` - Mid-sized balanced model - `voyage-4-lite` - Lightweight model, #9 on MTEB (73.29) - `voyage-4-nano` - Open-weight model (Apache 2.0) All Voyage 4 models support: - 32,000 token context - Flexible dimensions (2048/1024/512/256) via Matryoshka learning - Multiple quantization formats (float, int8, binary)
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