Front-end code is implemented here: https://github.com/ghoPritha/RelEx-Relevence-Feedback-with-XAI
search.ipynb is the main file to run the application and Notebook for data-preprocessing and indexer lies in dataPreprocessing folder.
An explainable AI search engine called RelEx using relevance feedback and extended Rocchio algorithm to improve result rankings. Integrated XAI features like highlighted key phrases and context matching to make the system more transparent and interpretable for users. Conducted user study to evaluate explainability and assessability of the system, proving its utility for exploratory search over regular search interfaces.