RAG Conflict Detection in Python: Find When Sources Disagree Before Answering

About this lesson

RAG failures often stem from conflicting retrieved sources — flag contradictory evidence before the model confidently outputs wrong answers. Build a lightweight pipeline that normalizes retrieval, extracts numeric claims, scores pairwise and topic-level disagreement, and gates generation to reduce factual errors. Examples in Python (re/regex) with claim parsing, severity scoring, topic grouping, and a decision gate. #RAG #AI #LLM #AIEngineering #Python #MachineLearning #Tutorial Subscribe for more practical AI engineering tutorials.

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