Why is ReAct better than chain-of-thought alone for some tasks?

ReAct beats pure CoT on knowledge-intensive tasks because it can retrieve fresh information instead of relying on training data. CoT reasoning amplifies the model's existing knowledge but cannot fix gaps or outdated facts. ReAct addresses this by letting the model fetch what it needs at runtime, dramatically reducing hallucinations on factual questions.