Why Knowledge Graphs?¶
The theoretical foundation for graph-based knowledge management
Before diving into queries and analytics, it helps to understand why knowledge graphs exist and what problems they solve.
This series builds the conceptual foundation. By the end, you'll understand:
- Why traditional retrieval fails for complex questions
- How graphs capture relationships that text cannot
- The projection pipeline that turns raw knowledge into actionable rules
- How consumers close the loop between knowledge and behavior
The Journey¶
| Part | Title | What You'll Learn |
|---|---|---|
| 1 | The Multi-Hop Problem | Why keyword search breaks down |
| 2 | Knowledge Graphs 101 | Nodes, edges, and semantic structure |
| 3 | The Projection Pipeline | From raw text to structured rules |
| 4 | The Consumer Loop | How agents use projected knowledge |
| 5 | Pattern Completion | Deriving new facts from structure |
| 6 | HippoRAG First Principles | Memory-inspired retrieval |
Ready? Let's start with the problem.