Unverified50% confidenceFactExact time
ReAct 让语言模型交替输出 Thought、Action、Observation 三种内容，能提升复杂任务质量并降低幻觉概率
1
Sources
50%
Confidence
Long-term
Relevance
7/13/2026
First Seen
Sources
Claude Code为何放弃RAG，选择Grep搜索代码
Related Claims
UnverifiedReAct combines reasoning and action, allowing the model to alternately generate natural language reasoning steps and concrete actions within a trajectory, making errors traceable and correctable.78% similarVerifiedThe core idea of ReAct is to interweave the language model's thinking and actions, forming an iterative loop of Think → Act → Observe, which differs from the pure reasoning chain of Chain-of-Thought.77% similarUnverifiedReAct enables the model to dynamically revise its reasoning path based on tool return results by alternately generating three types of tokens: Thought, Action, and Observation.76% similar
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