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RAG Pipelines That Actually Reduce Hallucinations

JB
Jordan Blake
May 18, 2026 · 6 min read

Retrieval-augmented generation gets talked about like a solved problem. It isn't. The gap between a RAG demo and a RAG system your support team trusts comes down to a handful of unglamorous engineering decisions.

Chunking matters more than the model

Most hallucination issues we've debugged traced back to bad chunking, not a weak model. Semantic chunking that respects document structure — headings, tables, lists — consistently outperforms fixed-size character chunking.

Always show your sources

Every production RAG system we ship surfaces the retrieved passages alongside the answer. It builds user trust, and it makes debugging a bad answer a five-minute task instead of a guessing game.

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