Summary:
We use scheduled file ingestion—rather than real-time auto-sync—to ensure data quality, system reliability, and human oversight. This article explains the why behind that decision, and the how of the system itself.
It’s a fair question: if you can detect when a file is added to a folder, why not just pull it in immediately?
Technically, we could. But we don’t—for good reasons.
Auto-sync may sound seamless, but it introduces complexity: persistent monitoring, webhook management, edge-case handling, sync drift, retries, and error reconciliation. That overhead multiplies with scale.
Scheduled ingestion, on the other hand, is predictable and stable. It reduces fragility, makes issues easier to trace, and keeps operations clean—even in enterprise environments.
In any AI-driven system, the quality of your inputs shapes the quality of your outcomes. Scheduled ingestion introduces a crucial buffer: it gives teams time to review and curate what gets fed into the system.
With auto-sync, the moment a file hits a folder, it’s in the pipeline—good, bad, or irrelevant. That might be fine for one user. But in teams of 20 or 200, it becomes a liability.
Scheduling protects against accidental uploads, outdated versions, and irrelevant content. It supports better data hygiene and governance at scale.
Here’s what happens behind the scenes when you configure scheduled ingestion in our system.