GapView Experiment

This repository accompanies the paper “Mind the Gap: Measuring Knowledge Gaps in RAG Pipelines” and provides all data, embeddings, and analysis scripts used in the study. The project introduces GapView, a preretrieval diagnostic method that uses cosine similarity between question and document embeddings to evaluate whether a knowledge base contains the information needed to answer user questions before invoking a RAG pipeline. The included .zip file contains six synthetic datasets spanning clinical and programming domains, along with Python scripts and result files that reproduce the experiments on cosine similarity alignment (RQ1) and embedding stability (RQ2).