This project aims to evaluate the quality of various search engines within multi-agent question and answer (QA) systems. The goal is to identify the most effective search engines for retrieving accurate, relevant, and timely information in response to queries handled by agents.
Github_Projeto_Final_ia024.ipynb: This notebook implements code to establish baseline values using the MonoT5 search model on golden linked articles from the IIRC dataset.
- Thiago Soares Laitz
- Vinicius Hirono Gonçalves
This project is part of the IA024 course.