RAG in plain English: how my college helpdesk answers from documents only

Description and use

<p><strong>Internal GPT</strong> is a helpdesk I built for college environments. Administrators upload institutional documents, and students and staff ask natural-language questions. The answers must come <em>strictly</em> from those documents, with source citations.</p> <p>This post explains how Retrieval-Augmented Generation (RAG) works in plain English, using that project as the example. If you've heard the acronym and nodded without being sure what's inside, this is for you.</p> <h2> The problem RAG solves </h2> <p>A language model knows a lot about the world, but nothing about <em>your</e

Problem

<p><strong>Internal GPT</strong> is a helpdesk I built for college environments. Administrators upload institutional documents, and students and staff ask natural-language questions. The answers must come <em>strictly</em> from those documents, with source citations.</p> <p>This post explains how Retrieval-Augmented Generation (RAG) works in plain English, using that project as the example. If you've heard the acronym and nodded without being sure what's inside, this is for you.</p> <h2> The problem RAG solves </h2> <p>A language model knows a lot about the world, but nothing about <em>your</e

Outcome

<p><strong>Internal GPT</strong> is a helpdesk I built for college environments. Administrators upload institutional documents, and students and staff ask natural-language questions. The answers must come <em>strictly</em> from those documents, with source citations.</p> <p>This post explains how Retrieval-Augmented Generation (RAG) works in plain English, using that project as the example. If you've heard the acronym and nodded without being sure what's inside, this is for you.</p> <h2> The problem RAG solves </h2> <p>A language model knows a lot about the world, but nothing about <em>your</e

Evidence

RAG in plain English: how my college helpdesk answers from documents only

Source