{
  "id": 5301507,
  "title": "How I Built a Production RAG System for Warehouse Operators — Not Data Scientists",
  "url": "https://urgent.news/2026/09/03/how-i-built-a-production-rag-system-for-warehouse-operators-not-data",
  "topic": "science",
  "section": "Science",
  "published": "2026-09-03T09:56:21.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/dulasi_nethma_e5461557016/how-i-built-a-production-rag-system-for-warehouse-operators-not-data-scientists-1dn3"
  },
  "original_language": "en",
  "account": "A logistics company in the UAE developed an AI-powered system called Logistics Oracle to help warehouse supervisors ask questions about inventory and forecasting in plain language. The system retrieves data from a live database rather than using pre-processed PDFs or Jupyter notebooks, which is more suitable for real-world warehouse operations. The architecture includes a FastAPI layer, PostgreSQL database, Redis cache, Groq LLM inference service, and a Next.js frontend with JWT authentication. The key challenges faced were retrieval quality, hallucinated data, and translating operator intent into structured queries. The system uses a weighted hybrid retrieval approach combining structured and semantic search, validates SKU codes against the database, and uses a lightweight intent classifier to map natural language queries to specific retrieval strategies.",
  "summary": "A solo engineer's honest account of shipping an AI querying layer on top of real logistics data in the UAE — what worked, what broke, and what I'd do differently. The Problem No One Talks About Most RAG tutorials start with a PDF and a Jupyter notebook. Real warehouse operators don't have PDFs. They have spreadsheets, WhatsApp voice notes, half-filled ERP exports, and a shift manager who's been…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}