FRAGATA: Semantic Retrieval of HPC Support Tickets via Hybrid RAG over 20 Years of Request Tracker History

arXiv:2604.13721v1 Announce Type: cross Abstract: 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.

Related

• Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning
• A Pythonic Functional Approach for Semantic Data Harmonisation in the ILIAD Project
• LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines
• Attribution-Driven Explainable Intrusion Detection with Encoder-Based Large Language Models

Source: arXiv cs.AI | 2026-04-17