RAG vs. Direct Context: I Tested Both on Real Documents, Here's What Broke

A hands-on test compared RAG and direct-context answering on real documents, revealing how AI models process information. The test used a pipeline to generate two separate answers for each document and question, one using RAG and the other using direct-context answering. The results showed that both methods can produce accurate answers, but direct-context answering provides more detailed information. This matters because it highlights the importance of understanding how AI models process information and the potential limitations of RAG-based approaches. To apply this, engineers should consider the trade-offs between using RAG and direct-context answering in their own projects, weighing the need for accuracy against the potential benefits of using RAG for efficiency and scalability.