Understanding a sprawling data estate usually means reverse-engineering schemas and asking around. SemanticFed is built to turn that into something you can see.
The knowledge graph renders your governed entities and the typed relationships between them — one-to-many, many-to-many, and the explicit from/to fields that let the engine join across sources. You can pick any entity and see what it connects to and what depends on it, trace a dataset back through its virtual views to the physical sources it reads from, and run impact analysis before you change anything.
Because the same typed, relational model grounds the platform’s AI, an agent pointed at the graph inherits a documented map of how your data connects instead of guessing.
An illustrative pre-launch scenario describing the metadata-graph experience being built.
Do it yourself
See how all your data connects — a live knowledge graph of entities, relationships, and lineage — so you can understand your estate and trace any number to its source.
Open the Knowledge Graph to see your modeled entities and the relationships between them as a live graph.
You should see: An interactive graph of your governed entities and their connections loads.
Ready to make this your story?
