Project
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
Next.js · React · TypeScript · Python · Supabase · Ollama · MLX · OpenAI · Vercel AI SDK
Key innovations
- 01End-to-end workflow: Document upload → RAG knowledge base → Training data generation → Local model fine-tuning
- 02RAG architecture with automated document embedding and vector similarity search
- 03Few-shot knowledge transfer from GPT-4/Claude into specialized Llama models
- 04Apple Silicon optimization with MLX framework for hardware acceleration
- 05Admin console for managing knowledge bases, model configurations, and fine-tuning workflows
- 06Multi-model deployment with parameter tuning and performance analytics
Status
supporting project
Legacy or supporting project that enabled current flagship platforms.
Scope
9,443 lines of code · 24 features · maturity 0/10
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