Knowledge Graphs vs. Context Graphs: Understanding the Difference (And Why You Need Both)
There has been a lot of noise lately about two powerful concepts that are transforming how organizations make decisions: Knowledge Graphs and Context Graphs. Let me break down what makes each unique and how they compliment each other.
📊 Knowledge Graph: The "What" and "How" Think of a Knowledge Graph as your organization's "source of truth" about what you have and how things relate. It maps out:
- What entities exist (products, customers, vendors, policies)
- How they connect to each other
- Static relationships and master data
🎯 Context Graph: The "Why" and "When" A Context Graph is fundamentally different, it models decisions and reasoning. It's the story behind every decision, preserving the full reasoning chain. It captures:
- What decision was made
- Under which specific conditions
- Based on which signals and constraints
- What happened as a result
🔗 Why They're Powerful Together?
One shows what's possible. The other explains what actually happened and why.
Knowledge Graphs give you the map Context Graphs give you the journey
Let’s look at a Procurement Scenario:
When you combine them, you transform your system from a "Black Box" ("The system bought this") into a transparent reasoning engine ("We bought this because speed outweighed cost in this specific instance").
To build systems we trust, we need to capture not just the data, but the decision integrity.
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