AI RESEARCH
Domain-Specific Data Generation Framework for RAG Adaptation
arXiv CS.AI
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ArXi:2510.11217v2 Announce Type: replace-cross Retrieval-Augmented Generation (RAG) combines the language understanding and reasoning power of large language models (LLMs) with external retrieval to enable domain-grounded responses. Effectively adapting RAG systems to domain-specific settings requires specialized, context-rich