Evaluating RAG Systems for Hallucinations

A technical white paper outlining a multi-signal evaluation framework for detecting hallucinations in enterprise RAG systems using NLI and semantic fallback scoring.

AuthorRafael Macario Fernandes · WiLine

PublishedApril 17, 2026

Length19 pages

FilePDF · 0.32 MB

About this whitepaper

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.