Category: RAG Technology

Enterprise RAG systems are bleeding money. While organizations rush to implement AI-powered knowledge retrieval, they’re discovering that traditional RAG architectures scale about as gracefully as a freight train hitting a brick wall. Vector databases buckle under massive document loads, inference costs spiral into six-figure monthly bills, and performance degrades so badly that users abandon the…