Unverified50% confidenceFactExact time
The Agent technical architecture is divided into three layers from bottom to top: the traditional question-and-answer mode, RAG (Retrieval-Augmented Generation), and Agent (including toolset, Memory, and Planning).
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50%
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Long-term
Relevance
10/13/2026
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UnverifiedCompared to single-turn dialogue, Agent systems introduce three additional dimensions: memory, tool invocation, and planning.79% similarUnverifiedAgents operate through a three-layer architecture consisting of a perception layer, a reasoning layer, and an action layer working in coordination.79% similarUnverifiedThe core Agent architecture encompasses three core technologies: CoT/ReAct chain-of-thought, RAG retrieval-augmented generation, and model memory mechanisms.79% similarUnverifiedAgent context can be broken down into seven components: instructions/system prompt, long-term memory, state/short-term history, retrieved information (RAG), prompts/input, available tools, and structured output.78% similarUnverifiedAgent frameworks compensate for the inherent limitations of large language models through tool calling, retrieval-augmented generation (RAG), memory management systems, and planning and reflection mechanisms.78% similar
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