New Generation RAG System for Campus AI Tutors: Hardware-Software Balances of CourseChat Architecture

Within the scope of the digital transformation of universities, artificial intelligence-based learning systems are increasingly important. A new research published in arXiv introduces the CourseChat system, which puts the ***on-**premises RAG technology in operation training. This system enables students to receive answers based on assigned classroom materials by working on campus infrastructure.

The main features of the CourseChat system are as follows:

• Multi course support: Each lesson is individually managed with its own CRN (Course Reference Number) code and operated by six different lessons presentation isolated
• On-premises architecture: All data to ensure corporate data security was removed from the cloud dependence by staying on the campus servers Tags
• Moodle integration: Direct binding of the system with the teaching management platform, allowing students to access the existing learning environment Tags
• Application of RAG technology: Lesson books and student dialogues guarantee that responses are based on classroom materials by keeping in corporate infrastructure

Research focuses on the question of how to manage**donanim and software preferences in a balanced way. The system accessed via the Campus web gateway aims to provide effective guard services while meeting the privacy and security requirements of teaching institutions.

Corporate AI arrestor systems such as CourseChat provide the safety of student data as well as increasing the quality of education of universities. Such solutions can be adapted to various disciplines, mainly in operating training.