Tagged articles

Production AI Systems

3 articles · Page 1 of 1

Oct 12, 2026 · Artificial Intelligence

LLM-Powered Database Root Cause Analysis: From Manual Triage to Automated AI Diagnosis

Qunar's production AI database operations agent automates root cause analysis through a six-layer LangGraph architecture, five-layer correlation algorithms from Pearson to Granger causality, and human-in-the-loop design, cutting DBA investigation time from minutes to 1-2 minutes with 70% diagnostic accuracy.

AI for DevOpsDatabase OperationsGranger Causality

0 likes · 53 min read

LLM-Powered Database Root Cause Analysis: From Manual Triage to Automated AI Diagnosis

DeepHub IMBA

Aug 26, 2026 · Artificial Intelligence

Building Agentic Multi-Step RAG for Complex Knowledge Workflows

The article details why single-step RAG fails for complex queries, presents a production-grade multi-step agentic RAG architecture using a DAG state machine, demonstrates a three-iteration Rivian supply chain example, and outlines key engineering principles including explicit state serialization, async execution boundaries, and deterministic evaluation guards.

Agentic RAGCross-Encoder RerankingDAG State Machine

0 likes · 13 min read

Building Agentic Multi-Step RAG for Complex Knowledge Workflows

Frontline Investigation

Aug 8, 2026 · Artificial Intelligence

Silent LLM Upgrades: When 'Smarter' Models Break Production Workflows

Frequent, unannounced LLM upgrades in industry applications can silently alter decision boundaries, tool usage, and confirmation logic, breaking established processes. The article proposes a four-dimension observation framework and argues for reversible, observable iterations with versioned knowledge, rules, and orchestration to maintain trust and compliance.

AI complianceAI governanceLLM upgrades

0 likes · 12 min read

Silent LLM Upgrades: When 'Smarter' Models Break Production Workflows