Overview
The architecture separates organizational data and knowledge from the AI models that may process it. Local embeddings, retrieval, authentication, knowledge stores, and model serving can remain inside the environment.
When an external model is intentionally enabled, that path can be treated as a separate, controlled service rather than the default location for organizational data.