Glossary/Knowledge Graph
Glossary

What is a Knowledge Graph?

A knowledge graph is a network of entities (people, places, things) and their relationships, enabling AI systems to understand context and connections between concepts.

The Concept

Unlike traditional databases that store information in tables, knowledge graphs store information as a network of nodes (entities) connected by edges (relationships). This structure mirrors how humans naturally understand and organize information.

Simple Example

Entity: "Project Alpha" → is_managed_by → Entity: "Sarah Chen" → uses_technology → Entity: "React" → belongs_to → Entity: "Engineering Team" → has_deadline → Value: "2024-06-01"

Why Knowledge Graphs Matter

Context Understanding

AI understands not just facts, but how they connect

Inference

Derive new knowledge from existing relationships

Multi-hop Queries

Find answers that require connecting multiple facts

Disambiguation

Distinguish between entities with similar names

Applications in Knowledge Management

  • Connect related documents automatically
  • Surface relevant experts for specific topics
  • Visualize concept relationships
  • Enable complex question answering
  • Track knowledge dependencies

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