Poster: ChatIYP: Enabling Natural Language Access to the Internet Yellow Pages Database
This work addresses usability for non-experts in network routing by enabling natural language access to the IYP database, though it appears incremental as it applies RAG to a specific domain.
The authors tackled the problem of querying the Internet Yellow Pages (IYP) database, which requires expertise in Cypher language and schema, by developing ChatIYP, a domain-specific RAG system that allows natural language queries, achieving solid performance on simple queries.
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.