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Operational AI Agent

RAG-based AI tooling for assisted diagnostics and operational workflows across distributed infrastructure.

AIRAGSemantic retrievalOperational tooling
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Problem

Large distributed infrastructure creates a lot of operational knowledge: runbooks, incident tickets, infrastructure signals, metrics, and service-specific debugging paths. Finding the right context quickly is hard during incidents.

Approach

Built a RAG-based operational agent that indexes infrastructure runbooks and related operational knowledge. The system enables LLM-driven semantic retrieval and knowledge grounding for assisted diagnostics and operational workflows.

Impact

  • Powered semantic retrieval over operational runbooks.
  • Added an agent skill for analyzing incident tickets and infrastructure signals.
  • Helped connect infrastructure signals with likely failing components.
  • Connected GenAI workflows with practical operational intelligence.