Problems of LLMs Without Knowledge Graphs (KG)
1. Limited access to unstructured data
LLMs without KGs often fail to fully leverage unstructured data like maintenance logs and manuals, leading to missed opportunities to gain valuable insights into fault diagnosis and prediction.
2. Slow and inefficient decision-making
Without the structured organization of KGs, LLMs struggle to effectively manage and retrieve relevant information from vast datasets, resulting in inefficiencies and inconsistencies.
3. Lack of interpretability
LLMs alone often function as black boxes, making it difficult to trace the reasoning behind their outputs.