smart-workflows

You can orchestrate ML pipelines across DuckDB and SurrealDB by using SQL-based workflows that provide deterministic task execution for data collection, preprocessing, training, and evaluation.

Yes, you can automate end-to-end ML workflows with Blender 5.0 and UE5 integrations to handle tasks spanning analytics, 3D content creation, and visualization generation.

SQL-based orchestration for bootstrapped ML pipelines is a method that uses modular, SQL-driven workflows to ensure repeatable and auditable execution from raw data ingestion to published insights.

To build a data-to-visualization pipeline using SmartACE workflows, you configure a simple setup to observe the end-to-end execution from data ingestion to visualization generation in a modular environment.

Yes, DuckDB is required to run deterministic task execution for ML pipelines, as it provides the foundational SQL extensions and analytics environment needed for repeatable workflow orchestration.

The limitations of using modular references for ML workflow orchestration include the strict dependency on a specific DuckDB and SurrealDB environment, which may restrict compatibility with other database systems.