multilingual-rag

Researchers identify systematic English and query-language bias in multilingual RAG rerankers and introduce LAURA, a utility-driven alignment method that boosts performance by retrieving answer-critical documents across languages.

A developer describes how French text in retrieved contexts caused their multilingual RAG system to unpredictably switch languages mid-answer, ultimately solved with a regex-based German detector and explicit negative prompts.