Setting up a local Large Language Model (LLM) using tools like Ollama is now straightforward. However, terminal-based interactions or basic chat interfaces quickly become limiting when you want to share these models with a team, upload documents for context, or access the tool from multiple devices. The core challenge is the gap between running a model locally and having a production-ready, collaborative platform that mirrors the polished user experience of proprietary services like ChatGPT. When multiple users need access, or when you need to ground your local models in custom documents without exposing sensitive data to external APIs, a simple