Nuton RAG

The main AI backend engine behind Nuton.app. Nuton RAG turns messy learning material into the structured context that powers courses, explanations, quizzes, flashcards, and other study experiences.

Why it exists

Most retrieval demos assume clean text and simple documents. Real learning material is different: PDFs have layouts, slides mix diagrams and text, and YouTube transcripts arrive with uneven structure. Nuton RAG is built around making that input reliable enough for a product learners can use every day.

What it handles

• Resilient extraction for documents, slides, and other academic content.
• Smart chunking that preserves meaning instead of splitting blindly by character count.
• Embedding and reranking to bring the most useful context into each generation.
• Graceful fallbacks for difficult files and partially-structured content.
• Production boundaries that keep retrieval, generation, and product experiences dependable.

The result is the intelligence layer behind Nuton’s learning workflows: a learner can bring in a video or document, and the product can build a coherent course around it rather than returning a pile of disconnected summaries.