Domain AI Studio
End-to-End Local LLM Platform
Planned platform unifying RAG knowledge management with local model fine-tuning. Will combine document ingestion, vector search, and RAG capabilities with frontier-to-local model distillation, enabling organizations to build privacy-preserving domain-expert AI systems optimized for Apple Silicon.
Technology Stack
Key Innovations
End-to-end workflow: Document upload → RAG knowledge base → Training data generation → Local model fine-tuning
RAG architecture with automated document embedding and vector similarity search
Few-shot knowledge transfer from GPT-4/Claude into specialized Llama models
Apple Silicon optimization with MLX framework for hardware acceleration
Admin console for managing knowledge bases, model configurations, and fine-tuning workflows
Multi-model deployment with parameter tuning and performance analytics
Project Status
Current Status
supporting project
Legacy or supporting project that enabled current flagship platforms
Functional Completeness
Essential functionality working, demonstrating key concepts