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Knowledge-as-Skill: A Structural Design for Autonomous Knowledge-Base Use by LLM Agents
Retrieval-augmented generation (RAG) gives large language models (LLMs) access to external knowledge, but its conventional retrieve-concatenate-generate pipeline makes retrieval decisions on behalf of the model. As tool use and agent loops become more reliable, an agent can decide whether to retriev
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