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Copy file name to clipboardExpand all lines: documentation/backend/rag-architecture.md
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@@ -6,7 +6,7 @@ This document provides an in-depth explanation of the Retrieval-Augmented Genera
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Retrieval-Augmented Generation (RAG) is an AI framework that enhances large language models (LLMs) by providing them with additional context retrieved from a knowledge base. In UniHub, RAG enables the system to generate educational content (notes and quizzes) based on students' learning materials.
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