ReAct Pattern
Information Workers, Research AssistantsRecipe Overview
Certain problems benefit from alternating reasoning and action. A ReAct agent interleaves chain-of-thought with explicit actions (like web search or database queries). The issue it solves is incomplete reasoning. According to the Prompt Engineering Guide, combining reasoning with tool calls achieves better performance. For example, if asked a factual question, the agent might first think, then perform a search action, then reason about the results. This creates a feedback loop where actions inform reasoning and vice versa, leading to more thorough and accurate problem-solving than pure reasoning or pure action alone.
Why This Recipe Works
Combines reasoning with actions for more comprehensive problem-solving
Implementation Resources
Implementation Tips
Best For:
Information Workers, Research Assistants
Key Success Factor:
Combines reasoning with actions for more comprehensive problem-solving...
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