Unverified50% confidenceFactExact time
RAG (Retrieval-Augmented Generation) provides an Agent with information it was never trained on; the information is stored in a separate database, and when the Agent is asked a question, it retrieves relevant content before generating an answer.
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Long-term
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10/10/2026
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VerifiedAgentic RAG grants the model autonomous planning capability, enabling it to assess whether information is sufficient, decide whether to perform multi-round retrieval, choose which tools or data sources to invoke, and carry out self-reflection and iterative correction.76% similarUnverifiedAgentic RAG用搜索工具替代了固定流水线，让Agent自主决定是否调用搜索、何时重写查询、是否需要多轮检索76% similarUnverifiedAn Agent can have either one, both, or neither of Context Memory and RAG, depending on the task requirements.71% similar
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