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RAG: Retrieval-Augmented Generation for Students

Retrieval-augmented generation combines information retrieval with language generation so a system can retrieve relevant source material before producing an answer.

What it means

A typical RAG system has documents, an indexing or retrieval layer, a language model and an application layer.

What students can learn

Students can explore document search, embeddings, retrieval quality, citations and evaluation.

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