What is Ark / Yage, and how does it relate to AI4MBSE and mbse.ltd?
Ark (Yage in Chinese) is the industrial MBSE × AI brand; mbse.ltd is the official site. AI4MBSE is the current flagship app; the engineering knowledge base / MBSE RAG is the foundation product; simulation and verification are planned as separate products.
What is an MBSE-oriented engineering knowledge base / MBSE RAG?
Not generic document Q&A. It retrieves standards, cases, and project conventions sliced by methodology, diagram type, and modeling task to constrain conversational modeling candidates. It is planned as its own product, not only an AI4MBSE toggle.
How is AI4MBSE different from ChatGPT-style chat?
It targets engineering modeling rhythm: one diagram at a time, KB grounding, checkable candidates, and human confirmation before write-back to modeling tools. Baselines and reviews stay with people.
Is the knowledge base just a feature of AI4MBSE?
No. It serves AI4MBSE today but is planned as an independent product with its own build, maintenance, and governance — and will also feed future apps such as simulation.
Does AI4MBSE lock you to one modeling tool?
No. Architecture is reusable kernel plus thin host adapters for desktop tools (MagicDraw / Cameo), open-source stacks (Capella, SysON), and SysML v2 / API routes.
When will the online trial open?
Roadmap: practice → product planning → refactor → open trial, with a 2026 polishing window. The trial ships productized capabilities from real MBSE work, not a hollow demo — see the AI4MBSE page for the trial roadmap.
Who builds this and how to collaborate?
Yuan Liangding (Chengdu). Open to joint research, toolchain co-build, knowledge-base rollout, consulting, and open-source collaboration: [email protected] / https://mbse.ltd.
More product detail: AI4MBSE and Knowledge base.