SiriusHelper: An LLM Agent-Based Operations Assistant for Big Data Platforms
Big data platforms are widely used in modern enterprises, and an in-production intelligent assistant is increasingly important to help users quickly find actionable guidance and reduce operational burden. While recent LLM+RAG assistants provide a natural interface, they face practical challenges in real deployments: limited scenario coverage across both general consultation and domain-specific troubleshooting workflows, inefficient knowledge access due to inadequate multi-hop retrieval and flat knowledge organization, and high maintenance cost because escalated tickets are unstructured and hard to convert into assistant improvements and reusable SOPs. In this paper, we present SiriusHelpe...
| Authors | Yu Shen, Shiyang Liu, Qihang He et al. |
|---|---|
| Primary category | cs.DB |
| Published | 29 April 2026 |
| Last updated at source | 29 April 2026 |
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