Is "RAG Is Dead" Really True? 6 Criteria for Internal Knowledge AI
With long-context LLMs on the rise, many claim "RAG is no longer needed." We sort out the cases where it genuinely isn't, and the cases where RAG is still essential, using six decision axes for choosing an internal knowledge AI.
What Is Corpus2Skill? RAG vs. Skill Mode Explained
"What if the AI lies?" "It can't handle complex questions." Learn how Monoshiri AI tackled RAG's hallucination problem and retrieval limits by moving to Skill Mode, with concrete examples.
What Is RAG? A Plain-English Guide to the Technology Reshaping Internal Document Search
A non-engineer's guide to RAG (Retrieval-Augmented Generation). Covers the limits of traditional internal document search, the changes RAG brings, and key points for enterprise adoption.
Is RAG Obsolete? Designing Knowledge Bases in the Long-Context Era
With 1M-token long-context models on the rise, some say RAG is no longer needed. We examine the claim from five angles -- cost, capacity, permissions, accuracy, and updates -- and show the current best answer for enterprise knowledge bases.
How to Search Internal Documents with AI -- Keyword Search vs. Semantic Search and How to Get Started
Learn how AI-powered semantic search solves the problem of internal documents you can't find with keyword search. This guide explains RAG and walks through implementation steps for non-engineers.