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.
