AWS

Author: Kim Bo-geun What happens when a building code review AI confuses “4 floors or less” with “4 floors or more”? The height limit gets inverted, and an illegal building gets judged as legal. This article is about the journey to catch that single-character difference. The Problem: Tables Are Retrieved but Unreliable The building code review system analyzes building-related PDFs — district unit plans, design guidelines — to extract standards like building coverage ratio (BCR), floor area ratio (FAR), and height limits. The PDF preprocessing pipeline uses Docling to parse documents, chunk text, and generate embeddings for hybrid search (keyword + semantic). ...

Kyung Nong FarmingNote Enhancement Project — Sharing the design and implementation of an AI system that automatically searches product information from a single pesticide product photo. Project Background Kyung Nong had previously built a generative AI-based agricultural chatbot with AWS and Megazone Cloud. Using a RAG architecture with Amazon Bedrock Claude Sonnet 3.5 and OpenSearch, the service automatically responded to crop protection product queries in natural language. While operating this chatbot, we received meaningful field feedback and a new proposal from Kyung Nong. Given that many elderly farmers work in the field, typing long and unfamiliar pesticide product names on smartphones was very cumbersome. ...