Evaluating Chunking Strategies For Retrieval-Augmented Generation in Oil and Gas Enterprise Documents
arXiv:2603.24556v1 Announce Type: cross
Abstract: Retrieval-Augmented Generation (RAG) has emerged as a framework to address the constraints of Large Language Models (LLMs). Yet, its effectiveness fundamentally hinges on document chunking – an often-o…