the Fundamental Design Decisions of Retrieval-Augmented Generation Systems
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
Understanding the Fundamental Design Decisions of Retrieval-Augmented Generation Systems
arXiv:2411.19463v3 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) has emerged as a critical technique for enhancing large language model (LLM) capabilities. However, practitioners face significant challenges when making RAG deployment decisions. While existing research prioritizes algorithmic innovations, a systematic gap persists in understanding fundamental engineering trade-offs that determine RAG success.