Apple
Voyager
Efficient embeddings for on-device AI.
Optimized for Apple siliconStrong privacy focusGood performance for its size on mobile
Today's score
88.0
Where it ranks today
Best for / Not great for
Best for
- On-device semantic search on iOS/macOS
- Personalized AI features
- Privacy-sensitive applications
- Augmenting local ML models
Not great for
- Server-side, large-scale enterprise applications
- General-purpose cloud-based RAG
- Cross-platform compatibility beyond Apple ecosystem
Why it ranks here
While specific details on 'Voyager' as a distinct embedding product are speculative, Apple's ongoing investment in on-device AI suggests a future of highly optimized, efficient embedding models for their ecosystem. These models excel in privacy and performance within the Apple hardware constraints.
30-day trend
Score breakdown
Search trends86
Benchmarks87
Developer buzz90
News mentions89
Pricing
API: $0.00 in · $0.00 out per 1M tokens · Consumer: $0.00/mo
Pricing plans
Popular
Included in Core ML
Integrated into Apple's machine learning framework.
Free
- Optimized for Apple hardware
- Integration with iOS, macOS, etc.
- Focus on privacy
- Available via Core ML Tools