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Knowledge Cards / Advanced RAG Techniques / Reasoning and Acting (ReAct)

Advanced RAG Techniques

Reasoning and Acting (ReAct)

ReAct prompting combines CoT with agents, creating a system where the model can generate thoughts and delegate actions to agents that interact with external data sources. ReAct enables LLMs to dynamically interact with retrieved documents, updating reasoning and actions based on external knowledge to provide more contextually relevant responses.