AI RESEARCH
LogRouter: Adaptive Two-Level LLM Routing for Log Question Answering in Big Data Systems
arXiv CS.LG
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ArXi:2605.18015v1 Announce Type: new Production log analytics in self-hosted, resource-constrained environments requires natural-language access to massive log streams without the cost of routing every query through a large language model. We present LogRouter, an end-to-end log question-answering system deployed on TUBITAK BILGEM's national big data platform that combines a PySpark-based Drain3 ingestion pipeline, GPU-accelerated embeddings, and dual-index storage in Apache Druid and PostgreSQL with pgvector.