Larger Context Windows Don’t Fix RAG — So I Built a System That Does
中文摘要
扩大RAG上下文窗口无法提升聚合任务准确性。作者建议将计算类查询从RAG转向确定性的全扫描引擎。
English Summary
Larger context windows don't fix RAG aggregation errors. The author suggests routing computation queries to a deterministic full-scan engine rather than retrieval-based pipelines.
原文节选
Increasing context size in RAG systems doesn’t improve accuracy for aggregation tasks—it makes errors harder to detect. In this article, I benchmark retrieval-based pipelines against a deterministic full-scan engine across 100,000 rows and show why computation queries must be routed away from RAG entirely. The post Larger Context Windows Don’t Fix RAG — So I Built a System That Does appeared first on Towards Data Science.