When building RAG systems over sensitive texts like parliamentary records, weighting sources by topic-dependent expertise rather than frequency prevents political bias and ensures accurate attribution.
ParliamentRAG is a retrieval system for Italian parliamentary transcripts that addresses bias in AI-generated summaries by modeling speaker authority based on expertise, profession, and topic relevance.