AI RESEARCH
DynaRAG: Bridging Static and Dynamic Knowledge in Retrieval-Augmented Generation
arXiv CS.AI
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ArXi:2603.18012v1 Announce Type: cross We present DynaRAG, a retrieval-augmented generation (RAG) framework designed to handle both static and time-sensitive information needs through dynamic knowledge integration. Unlike traditional RAG pipelines that rely solely on static corpora, DynaRAG selectively invokes external APIs when retrieved documents are insufficient for answering a query.