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Context Graphs: Using Meaning

Organizations do not operate as tables. They operate as networks of connected concepts. People interact with systems. Systems generate events. Events affect nodes. Nodes evolve through lifecycles. A context graph is your ontology expressed as a connected, navigable representation. It connects meaning across databases, teams, tools, and time.

What Context Graphs Enable

Context graphs help teams:
  • Understand relationships across system boundaries
  • Traverse information the way humans naturally reason
  • Preserve nuance that flat schemas and static docs lose
  • Reason across time, ownership, and lifecycle

Properties of the Model in Galaxy

The model you build in Galaxy is:

Navigable

Explore connections interactively

Visual

See relationships at a glance

Queryable

Ask questions about structure and meaning in SQL

Evolvable

Update as systems and understanding change
This is why Galaxy is not only “semantic modeling.” The graph is how meaning becomes usable in practice.

Where this shows up in the product

Projects

are context graphs that represent how your business works

Nodes

define the key things you care about (Customer, Order, Product)

Edges

define how those things connect (Customer places Order)

Chat

can traverse the graph to answer questions using your definitions

Explorer

can inspect definitions and structure in SQL