TriCalRAG is a reproducible benchmark for on-premise log-anomaly detection and root-cause analysis, evaluating Qwen2.5-14B and Mistral-Small-22B on vLLM with one NVIDIA RTX PRO 6000 GPU across BGL, HDFS, Thunderbird, and OpenStack. It…
#TriCalRAG #AIOps #RAG #vLLM
https://arxiv.org/abs/2609.14762
#TriCalRAG #AIOps #RAG #vLLM
https://arxiv.org/abs/2609.14762
October 7, 2026 at 4:01 PM
TriCalRAG is a reproducible benchmark for on-premise log-anomaly detection and root-cause analysis, evaluating Qwen2.5-14B and Mistral-Small-22B on vLLM with one NVIDIA RTX PRO 6000 GPU across BGL, HDFS, Thunderbird, and OpenStack. It…
#TriCalRAG #AIOps #RAG #vLLM
https://arxiv.org/abs/2609.14762
#TriCalRAG #AIOps #RAG #vLLM
https://arxiv.org/abs/2609.14762
Rohit Patel, Susil Kumar Mohanty, Jeenal Chaudhary: TriCalRAG: A Three-Strategy, Retrieval-Augmented Benchmark for On-Premise LLM-Based Root Cause Analysis in AIOps https://arxiv.org/abs/2609.14762 https://arxiv.org/pdf/2609.14762 https://arxiv.org/html/2609.14762
September 15, 2026 at 6:40 AM
Rohit Patel, Susil Kumar Mohanty, Jeenal Chaudhary: TriCalRAG: A Three-Strategy, Retrieval-Augmented Benchmark for On-Premise LLM-Based Root Cause Analysis in AIOps https://arxiv.org/abs/2609.14762 https://arxiv.org/pdf/2609.14762 https://arxiv.org/html/2609.14762