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Ideas and guides from pin
The failure that should worry you about RAG isn't a missing answer. It's a fluent answer built from the wrong five paragraphs.
How retrieval-augmented generation actually works — chunking, embeddings, hybrid retrieval, re-ranking, context assembly — and the five distinct mechanisms by which it produces a plausible wrong answer instead of an honest 'not found.' Grounded in the published literature, not in a vendor diagram.
When a model explains its reasoning, it isn't reporting what happened inside. It's generating more text.
How inference mechanically works in a modern LLM — the forward pass, the KV cache, sampling, quantization and what each one actually costs — and what interpretability research can and cannot currently tell you about why a model produced an output. Part 2 of our technical-depth series.
The failure that should worry you about OCR doesn't look like garbled text. It looks like 98% confidence and a missing paragraph.
We built our OCR pipeline as a confidence-routed cascade, benchmarked it against three newer document-understanding tools, then threw genuinely dirty scans at it and watched the safety net fail to catch four real bugs. What we found, and what the current literature actually supports.
I didn't start pin because I love legal technology. I'd already watched this exact failure three times.
Grab, Uber, Stripe — three companies, three different products, the same wall: they scaled faster than their own paperwork could follow. Pin exists because the legal industry hit that wall and nobody built the fix.
No answer is better than the reading it came from.
Before a system can answer questions about your case file, someone has to turn the paper into text. That step is called OCR, it never shows up in a demo, and it decides the quality of everything that follows.
A tool isn't measured by how often it's right. It's measured by what it costs to check.
The duty to verify is already written into the rules, and already being sanctioned. What no one explains is how you fulfill it without losing the time the tool promised to save you. That cost isn't set by your discipline: it's set by the architecture.