An LLM's knowledge is fixed at training time and bounded by its context window, which is why techniques like RAG (to supply current, proprietary knowledge) and tool use (to take actions) are layered on top.
LLMs are powerful but imperfect: they can hallucinate, so production systems add grounding, guardrails, and evaluation.