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Use Case: GenAI + RAG for Student Help Desk 

06-20-2024 02:08 PM

Introduction

 

This document outlines the use case for implementing a Generative AI (GenAI) combined with Retrieval-Augmented Generation (RAG) to create an efficient and effective Student Support Help Desk solution for colleges and universities. The solution aims to streamline support processes, provide quick and accurate responses to student queries, and enhance overall student experience while reducing human effort and reducing administrative overheads and costs. 

Business Context

Colleges and universities face challenges in managing student-related queries and tasks efficiently due to the large and diverse student population. The traditional student support systems are often overwhelmed with repetitive questions, leading to delayed responses and reduced student satisfaction. Student support is often managed by disconnected systems, manual business processes, repetitive administrative tasks, and cumbersome processes and protocols. Educational institutions are seeking an innovative solution to automate and enhance student support operations wherein a high percentage of questions can be answered Intelligently by the solution while greatly enhancing the student experience. 

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Use Case - GenAI + RAG for Student Help Desk   102 KB   1 version
Uploaded - 06-20-2024
A Use Case document that describes how GenAI + RAG can be used to modernize and transform Student Help Desk.

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