The technical challenge of building a RAG system is the easy part. The harder challenge is building a journalist-facing interface that journalists trust, find faster than Google, and actually integrate into their research workflow. Most internal RAG deployments fail because the interface requires too much technical knowledge or returns results journalists don't trust.
Designing a Journalist-Friendly RAG Interface
Key UX principles: Natural language queries — no need to know Boolean operators or special syntax. Source attribution on every result — journalists must see which document the result came from before they trust it. Date display — every result should show its publication date prominently. Direct link to original article — one click from result to source, not multiple steps. Uncertainty indicators — show when retrieved documents are old or when fewer than 3 relevant documents were found. Feedback mechanism — a thumbs-up/down on each result that feeds retrieval quality improvement. Test with 5 journalists before deployment and iterate on every friction point they identify.