Poster: ChatIYP: Enabling Natural Language Access to the Internet Yellow Pages Database
Vasilis Andritsoudis, Pavlos Sermpezis, Ilias Dimitriadis, Athena Vakali
公開日: 2025/9/23
Abstract
The Internet Yellow Pages (IYP) aggregates information from multiple sources about Internet routing into a unified, graph-based knowledge base. However, querying it requires knowledge of the Cypher language and the exact IYP schema, thus limiting usability for non-experts. In this paper, we propose ChatIYP, a domain-specific Retrieval-Augmented Generation (RAG) system that enables users to query IYP through natural language questions. Our evaluation demonstrates solid performance on simple queries, as well as directions for improvement, and provides insights for selecting evaluation metrics that are better fit for IYP querying AI agents.