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TriCalRAG: A Three-Strategy, Retrieval-Augmented Benchmark for On-Premise LLM-Based Root Cause Analysis in AIOps

Patel, Rohit et al.
arXiv (OAI Expanded) · Papers
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and-cluster-computingcryptography-and-securitydistributedemerging-technologiesmachine-learningparallel
Cloud-hosted large language models (LLMs) are increasingly used for root cause analysis (RCA) in AIOps pipelines, but they introduce data privacy risk, network latency, and per-query cost that scale poorly with production log volumes. We present TriCalRAG, a benchmark evaluating open-weight LLMs ser
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