Locally deployed RAG-based academic advising system for course selection

Arxiv CS.CL (NLP/language models)

The system uses retrieval-augmented generation (RAG) to help students plan course sequences based on prerequisite requirements. It is designed to be deployed locally, addressing privacy and latency concerns. The paper presents a prototype and evaluation.

rag

Arxiv CS.CL (NLP/language models)·Feng LiYoritaka Iwata

8 days ago