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Glossary · AI Agents

What is ReAct Pattern?

An agent pattern that alternates reasoning about the next step with acting through a tool, then observing the result.

In more detail

Reason + Act. The loop repeats until the model can give a final answer or a limit is reached. Most agent frameworks are variations of it.

Example

Thought → calculator("18:40 - 00:55") → Observation 17:45 → Final answer.

Learn it properlyThe Agent Loop: Planning, ReAct and Knowing When to Stop10 min lesson · AI Agents

Related terms

EmbeddingA list of numbers that represents the meaning of a piece of text, so similar meanings are close together.Human-in-the-LoopA design where a person reviews or approves an AI system’s action before it takes effect.Model Context Protocol (MCP)An open standard for connecting AI applications to tools and data sources through reusable servers.Tool Calling (Function Calling)A model capability where the AI returns a structured request to run a function with specific arguments, instead of plain text.Vector DatabaseA database designed to store embeddings and quickly find the most similar ones to a query.