让普通人用自然语言查询互联网路由知识库
Poster: ChatIYP: Enabling Natural Language Access to the Internet Yellow Pages Database
- 基于检索增强生成技术，将自然语言转为路由数据库查询
- 简单查询准确率高，复杂查询仍有提升空间
- 适合需要快速获取网络路由信息的研究者与工程师
互联网黄页（IYP）将多个来源的互联网路由信息整合为统一的图结构知识库。然而，查询IYP需掌握Cypher语言和精确的IYP模式，限制了非专家用户的使用。本文提出ChatIYP，一种面向特定领域的检索增强生成（RAG）系统，使用户可通过自然语言提问访问IYP。评估显示，系统在简单查询上表现良好，也指出了改进方向，并为选择更适合IYP查询人工智能代理的评估指标提供了见解。
原文摘要 · Abstract (English)
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.
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