A Locally Deployed RAG-Based Academic Advising System for Course Selection
Summary
This paper proposes a locally deployed RAG-based academic advising system that combines large language models with retrieval from structured syllabus data to support course selection and personalized study planning in a privacy-preserving manner.
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# A Locally Deployed RAG-Based Academic Advising System for Course Selection Source: [https://arxiv.org/abs/2606.02983](https://arxiv.org/abs/2606.02983) [View PDF](https://arxiv.org/pdf/2606.02983) > Abstract:The correct sequence of courses in the curriculum based on prerequisites between courses is of great importance for students to develop their knowledge and skills holistically\. However, students crafting this sequence in isolation frequently struggle with recognition limitations and information overload that leads to confusion\. Simultaneously, education institutions encounter difficulties in providing adequate academic advice for the correct sequence due to limited education resources\. To address these challenges, we propose a locally deployed RAG\-based academic advising system grounded in syllabus information\. By combining large language models with retrieval from structured syllabus data, the system is designed to support course selection, prerequisite understanding, and personalized study planning in a privacy\-preserving manner\. ## Submission history From: Feng Li \[[view email](https://arxiv.org/show-email/9d6f2e05/2606.02983)\] **\[v1\]**Tue, 2 Jun 2026 00:41:51 UTC \(748 KB\)
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