ReAct
Reasoning and Acting
A method in which AI alternates between reasoning and acting to solve problems.
In Simple Terms
ReAct is a mechanism that lets AI handle complex tasks by alternating between "thinking" and "acting." For example, while answering a question, it might run a web search or do a calculation partway through, gather information, check the results, and then decide on the next step. By repeating this cycle of thought and action, it can work through problems step by step and arrive at an appropriate answer. It's used in AI agents and tools that automate complex research tasks.
Behind the Name
ReAct is a portmanteau of "Reasoning" and "Acting." The name reflects how the AI works: it plans its own steps, carries out external actions like web searches, and then reasons about what to do next based on the results.
Take a Closer Look!
ReAct is a technique in which artificial intelligence achieves a goal by alternating between the output of its own reasoning process and actions taken with external tools.
It recreates, in AI, the way humans solve complex problems: organizing the steps mentally while actually investigating and carrying out the work.
Think of it as the AI having both a "brain that thinks things through" and "hands and feet that actually do the work."
First, the AI writes out its reasoning about what it needs to look into for a given question, then carries out a concrete action, such as searching a search engine.
The key point is that it observes the results of that action and reconsiders "what to do next," repeating this loop until it arrives at the right answer.
By using ReAct, AI can work through problems step by step, calling on external tools like search engines and calculators as needed. This can reduce reasoning errors in complex tasks and improve the accuracy of its answers.
It serves as a foundational technique for AI agents that make their own decisions and carry out work autonomously.