Data Engineering
Knowledge Graph
A structured map of facts and relationships, like a Wikipedia for machines, connecting entities with meaningful links.
Definition
A structured representation of knowledge using entities (nodes) and relationships (edges). Enables complex queries, reasoning, and inference across connected data. Examples include Google's Knowledge Graph.
Why it matters
Powers smart search, recommendation engines, and gives AI agents structured knowledge to reason over.
Related terms in Data Engineering
Batch Processing
Processing a large group of data all at once on a schedule, rather than one piece at a time in real-time.
Chunking Strategies
Chopping up long documents into small, bite-sized pieces so an AI can search and read them easily.
Data Augmentation
Creating fake but realistic training examples (like flipping or rotating images) to give the AI more data to learn from.
Data Labeling
The human work of tagging data with correct answers so an AI can learn from it, like marking photos as "cat" or "dog."
From vocabulary to outcomes
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