FRAGATA: Semantic Retrieval of HPC Support Tickets via Hybrid RAG over 20 Years of Request Tracker History
AI 摘要
FRAGATA通过混合RAG提升HPC工单的语义检索,解决传统搜索的局限性。
主要贡献
- 构建FRAGATA系统,提升HPC工单检索效率
- 结合信息检索技术与Request Tracker历史数据
- 系统支持增量更新,不中断服务,利用超算资源
方法论
采用混合RAG架构,结合现代信息检索技术,对Request Tracker的历史数据进行语义检索。
原文摘要
The technical support team of a supercomputing centre accumulates, over the course of decades, a large volume of resolved incidents that constitute critical operational knowledge. At the Galician Supercomputing Center (CESGA) this history has been managed for over twenty years with Request Tracker (RT), whose built-in search engine has significant limitations that hinder knowledge reuse by the support staff. This paper presents Fragata, a semantic ticket search system that combines modern information retrieval techniques with the full RT history. The system can find relevant past incidents regardless of language, the presence of typos, or the specific wording of the query. The architecture is deployed on CESGA's infrastructure, supports incremental updates without service interruption, and offloads the most expensive stages to the FinisTerrae III supercomputer. Preliminary results show a substantial qualitative improvement over RT's native search.