Data pipeline architecture
Model inference service
Separate online prediction, feature reads and asynchronous monitoring.
Architecture example library
100 original problem patterns. 10,000 configurable reference variants. Explore a design, download its source, or create a private copy to customize.
Variants combine a problem pattern, deployment context and design concern. They are generated reference compositions, not independently audited production systems. Original library source is MIT licensed.
1,000 public template files
Data pipeline architecture
Separate online prediction, feature reads and asynchronous monitoring.
Data pipeline architecture
Expose retrieval and model context boundaries rather than hiding them inside one AI box.
Data pipeline architecture
Track document versions and index updates through an asynchronous workflow.
Data pipeline architecture
Track deletion requests and dependent data stores with an explicit completion record.
Original Drawarc examples include editable Mermaid and project files. For third-party GitHub source, review its upstream license before reuse. Importing never publishes someone else’s source into this gallery.
Source library & repository instructions