Data View: see your knowledge graph without a whiteboard

The Curiosity Team

• 2026-06-28

Complex data models have a visibility problem. The schema exists, in code, in documentation or in someone's head, but a clear picture of what is in the graph, how types relate and what is safe to change takes either deep familiarity or a lot of digging. The new Data view gives that picture directly.

A map of your data model

The Schema tab renders your knowledge graph as an interactive force graph: every node type, every edge type, and how they connect, visible at once. Zoom in on a cluster or follow a relationship chain without reading code. This overview used to live on a whiteboard, or in a diagram someone made once and never updated. Here it is always current.

Node and edge management

The Nodes and Edges tabs give you a searchable view of every type in your graph, with per-type detail on the right: properties, sample data, and shortcuts to import more. You can create new node and edge schemas directly from here.

Edges also support virtual edges: inference rules that derive relationships from chains of existing ones. If A connects to B and B connects to C, a rule can infer that A connects to C, without re-importing or restructuring your data. Relationships that were implicit in the graph become explicit.

Destructive operations (deleting a schema) require typing the exact name to confirm, and the interface explains what else would be affected: related indexes, connected edges, all associated data.

Code export for builders

The Schema tab also exports your data model as typed C# code, with separate templates for connectors and for interface integration. Copy it and you have a strongly typed starting point for a new connector or a front end, without writing the boilerplate.

The full schema is also available as browsable, downloadable JSON for any tooling that needs it.

Import

Separate CSV import flows for nodes and edges bring structured data into the graph without custom tooling. For a team migrating data or starting a new deployment, it is the shortest path from a spreadsheet to a working graph.

Knowing what you have

These updates make it easier to understand your data model at a glance, change it with the consequences visible, and build on top of it without starting from scratch.

If you are working with data in Curiosity, start with the developer docs, or get in touch.