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Data · towardsdatascience.com · Wednesday, 15 July 2026

RAG Hallucinations Mostly Come from Retrieval Failures, Not Model Fabrication

An experiment on the 55‑page NIST Cybersecurity Framework shows a cosine‑based retriever ranks the correct answer last, while a simple keyword filter puts it first. The LLM then hallucinated because it never saw the right context. Fixing retrieval removes most RAG hallucinations.

Read the source: towardsdatascience.com ↗In the 15 July issue →