From Retrieval to Evidence: A Task-Adaptive Two-Layer Knowledge Architecture for LLM Agents
Retrieval-augmented generation and structured agent memory are commonly treated as competing ways to ground large language models. Our results show that their relative value changes with the task and that neither retrieved similarity nor graph association is sufficient evidence for an answer. We present a task-adaptive...