Knowledge Center
English summaries of our AI work system, LINE AI customer service, RAG knowledge base, and knowledge transfer articles. Full-length articles are currently available in Traditional Chinese.
Many businesses hear "AI agent" and want to wire up a tool right away, missing the most important prep step: organizing knowledge. This article covers the 5 types of knowledge SMEs should audit before adoption, so you don't waste effort.
Read summaryLINE is Taiwan's most common business communication channel, but upgrading a standard LINE official account into AI customer service that actually answers questions takes preparation. This article walks through the full process, from organizing FAQs to building a knowledge base.
Read summaryMany businesses think uploading a few PDFs to AI counts as building a knowledge base, but that kind of AI never truly "understands" your business. This article explains how a RAG knowledge base works, and the most common pitfalls when building one.
Read summaryOne of the biggest risks in manufacturing and traditional industries is that decades of technical judgment disappear the moment a key veteran retires or leaves. This article explores how systematic knowledge extraction can turn tacit knowledge into a format your AI assistant can learn from.
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