Why Bigger Context Windows Still Miss Aggregations in RAG
An engineer shows that expanding context windows in Retrieval‑Augmented Generation doesn't fix inaccurate aggregations. By benchmarking a 100k‑row CSV against a deterministic full‑scan engine, he demonstrates that RAG should be routed away from heavy numeric computation toward purpose‑built aggregation systems. The findings warn data teams against trusting RAG for summarizing large tables.