Evaluating RAG Systems for Hallucinations

This paper documents WiLine's production evaluation framework for automatically detecting and quantifying hallucinations in Retrieval-Augmented Generation systems. It combines sentence-level Natural Language Inference with cosine semantic similarity fallbacks, runs locally on CPU, and supports asynchronous scoring workflows without adding latency to user-facing chats.