From RAG to Skill Function: A New Architecture for Enterprise AI Knowledge

Enterprise AI knowledge systems have a scaling problem. RAG was the answer for years. Retrieve relevant chunks, feed them to the model, generate an answer. It works — until it doesn't. Retrieval misses, chunking breaks context, multi-document reasoning fails, pipelines grow complex. And as knowledge bases grow, the problems compound. Long context models offered a partial fix. Skip retrieval entirely, load the whole document. Better understanding, simpler architecture. But you're still paying…