AutoRAGTuner: A Declarative Framework for Automatic Optimization of RAG Pipelines
arXiv:2605.02967v1 Announce Type: cross
Abstract: Retrieval-Augmented Generation (RAG) enhances LLMs, but performance is highly sensitive to complex architecture designs and hyper-parameter configurations, which currently rely on inefficient manual tu…