<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Rubra Digital: Insights</title><description>Writing on RAG architecture, LLM evaluation and AI governance, by the engineers doing the work.</description><link>https://rubradigital.com</link><language>en</language><item><title>The EU AI Act: what engineering teams actually have to build</title><link>https://rubradigital.com/insights/eu-ai-act-what-engineering-teams-actually-need-to-do</link><guid isPermaLink="true">https://rubradigital.com/insights/eu-ai-act-what-engineering-teams-actually-need-to-do</guid><description>Past the legal summaries: the concrete instrumentation the EU AI Act requires, article by article, and how much of it good engineering already covers.</description><pubDate>Mon, 20 Jul 2026 00:00:00 GMT</pubDate><category>governance</category><category>EU AI Act engineering</category><category>AI Act technical requirements</category><category>AI compliance</category></item><item><title>Most RAG failures are retrieval failures</title><link>https://rubradigital.com/insights/most-rag-failures-are-retrieval-failures</link><guid isPermaLink="true">https://rubradigital.com/insights/most-rag-failures-are-retrieval-failures</guid><description>When teams report hallucination in a RAG system, the model is usually not the problem. Here is how to tell the difference and what to do about it.</description><pubDate>Thu, 02 Jul 2026 00:00:00 GMT</pubDate><category>rag</category><category>RAG hallucination</category><category>retrieval quality</category><category>recall at k</category></item><item><title>Your evaluation set is the real product</title><link>https://rubradigital.com/insights/evaluation-is-the-product</link><guid isPermaLink="true">https://rubradigital.com/insights/evaluation-is-the-product</guid><description>The labelled evaluation set outlasts your model, your framework and probably your architecture. It is the most durable asset an AI project produces.</description><pubDate>Tue, 12 May 2026 00:00:00 GMT</pubDate><category>evaluation</category><category>LLM evaluation</category><category>AI project management</category><category>evaluation datasets</category></item></channel></rss>