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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 entities. Entities evolve through lifecycles. A context graph is your ontology expressed as a connected, navigable representation. It connects meaning:
  • Across databases
  • Across teams
  • Across tools
  • Across time

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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

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Properties of the Model in Galaxy

The model you build in Galaxy is:
  • Visual: see relationships at a glance
  • Navigable: explore connections interactively
  • 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.

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Where this shows up in the product

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