Knowledge Graph

Definitions

1. A graph of entities and relationships used to represent structured knowledge for retrieval or reasoning. It influences how models are trained, evaluated, or served, and it can materially change accuracy, robustness, latency, cost, or interpretability. Practitioners usually track it alongside data quality, compute limits, and validation results when moving models into production.

   In plain English: Knowledge Graph is an AI concept that affects how a model learns, predicts, or gets deployed. It matters because it changes quality, speed, or reliability.

   Example: "We revisited Knowledge Graph during model evaluation because the first run looked fine offline but behaved poorly in production, and the adjustment improved quality without breaking our latency or compute budget."

Related Terms

• RAG
• Chain of Thought
• Chain of Thought Prompting
• CPT
• Graph Convolutional Network
• Graph Neural Network
• Graph Transformer
• MMLU Benchmark