This article details the construction of a maintenance copilot designed to assist technicians by retrieving information from various sources like OEM manuals, Standard Operating Procedures (SOPs), and work orders. It emphasizes the importance of a robust retrieval layer, advocating for layout-aware parsing to preserve tables and diagrams, and chunking content based on its inherent structure rather than fixed token counts. The proposed system uses hybrid retrieval methods, filters by asset and permissions before generation, and enforces strict rules for citing sources or refusing to answer if evidence is insufficient. AI
IMPACT Provides a blueprint for building specialized AI assistants that can significantly reduce information retrieval time for technicians.
RANK_REASON The article describes the technical implementation of a specific AI-powered tool for maintenance tasks.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →