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
roadmap
Planned future development combining multiple approaches
Functional Completeness
Essential functionality working, demonstrating key concepts