Originally published on AI Tech Connect.
What you'll build, in plain English By the end of this guide you will know how to build a retrieval-augmented generation system that answers a question in the language it was asked, no matter which language your source documents happen to be written in. A user in Coimbatore can ask in Tamil and get an answer grounded in an English policy PDF. A support agent in Lyon can ask in French and pull the right paragraph from a German technical manual. That capability — a query in language A retrieving documents in language B — is called cross-lingual retrieval, and it is the single most under-built part of most production RAG stacks serving India and Europe. The plan looks like this. Detect the language and script of the incoming query. Normalise the text so Unicode quirks and code-mixing do not…
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