When Agents Learn to Navigate Knowledge Graphs, LLMs Truly Start 'Working'

If you compare an enterprise knowledge base to a library, past retrieval systems were like catalog cards, while Agents are librarians who can both understand reader intent and fetch the books themselves. Deepexi's industrial fault repair Agent showcased at WAIC hits exactly on the core of this analogy: it doesn't rely on LLMs to "make up" answers; instead, it first lets the Agent understand where the "fault clues" sit within the knowledge graph, then executes reasoning paths along entity relationships.