RAG Hallucinates — I Built a Self-Healing Layer That Fixes It in Real Time

Towards Data Science / 5/5/2026

💬 OpinionIdeas & Deep AnalysisTools & Practical Usage

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Key Points

The article argues that RAG failures often come from reasoning and hallucinations rather than from retrieval quality alone.
It describes a lightweight self-healing layer designed to detect hallucinations and correct them before answers are shown to users.
The approach focuses on real-time mitigation, aiming to improve end-user reliability without heavy rework.
Overall, the piece presents a practical pattern for making RAG systems more robust against generated misinformation.

Your RAG system isn’t failing at retrieval — it’s failing at reasoning. This article shows how I built a lightweight self-healing layer that detects and corrects hallucinations before they reach users.

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