Blog
Notes on RAG, internal search, and what AI adoption actually looks like in practice.
Five Ways to Improve Japanese AI Search Accuracy
Japanese RAG is harder to get right than English RAG. Here are five practical levers — chunking, multilingual embeddings, hybrid search, reranking, and evaluation — that consistently move the needle.
ChatGPT vs. RAG: Which Should Your Business Use?
ChatGPT and RAG are both generative AI, but they fit very different business jobs. Here's how to think about hallucination, data, citations, freshness, and cost when choosing between them.
Three Reasons Japanese SMBs Fail at AI Adoption
AI projects that stall tend to stall for the same handful of reasons. Here are the three patterns we see most often in Japanese SMBs, and how to avoid them.
What is RAG? A Plain-English Guide for Non-Engineers
A no-jargon introduction to RAG (retrieval-augmented generation): how it differs from ChatGPT, when a business should use it, and a hotel FAQ example to make it concrete.