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ReAct (Reasoning + Acting)

ReAct interleaves reasoning steps ("Thought") with concrete actions ("Action"), such as calling a tool or looking something up, then uses the results ("Observation") to decide the next move. Instead of answering in one shot, the model loops: think, act, observe, rethink. Example prompt: "Follow this schema. Thought: what to find out. Action: search[query]. Observation: result. Repeat until you can answer, then write Final Answer." The model gathers the fact before responding, reducing hallucinations.

Definition

Use it for tasks needing external information or multiple steps: search, calculations, database queries, agents. The explicit loop makes reasoning auditable and connects the model to real tools.

Related terms

• Chain of Thought
• Tool Use
• Function Calling
• Self-Ask
• Prompt Chaining

More in Prompting

• Prompt
• Prompting
• Role Assignment
• Zero-shot
• Few-shot
• Chain of Thought
• Prompt Engineering
• Output Format

Put it into practice

• Real scenario: apply this concept with an instant AI verdict.
• Daily gym: short drills to train dictionary concepts.
• Playoff game: challenge other players, elimination-style.

Say what you mean. Get what you need.

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