← Back to WorkApplied AI · RAG

Course RAG Assistant

A source-grounded course workspace for the moments when the answer is somewhere in your syllabus, rubric, notes, or assignment—but you should not have to search for it all over again.

RoleAI Product Engineer
StackNext.js, TypeScript, OpenAI, Pinecone
Timeline2026
Live DemoOpen ↗

The moment it clicked

When I was a student, the hard part was not always understanding the work. It was remembering where the information lived: a deadline in the syllabus, requirements in a rubric, and the details of an assignment in a separate document.

A student should be able to upload the material they already have, ask the question that is actually on their mind, and leave with a clear next step—not another generic chat response.

Overview

The Problem

Students rarely have one clean source of truth. A deadline may be in a syllabus, requirements in a rubric, and the context they need in lecture notes. A generic chatbot can sound confident while inventing details or losing track of which document supports an answer.

The Product Decision

The experience starts with the student's material, not an empty chat box. After the documents are read, the interface adapts: students can ask directly, build an assignment checklist, or create a study review. Every answer links back to retrieved source text.

From scattered material to a next step

01 · Add
Your material
Syllabus, rubric, notes, or assignment
02 · Ask
The question in front of you
A deadline, requirement, concept, or quiz
03 · Choose
The right kind of help
Answer, checklist, dates, or study review
04 · Verify
A usable answer
Source text, evidence, and a clear next step

Under the hood, the material is parsed, retrieved, and matched to the question. The student experience stays focused on what to do next.

How it works under the hood

The interface stays simple for the student, but the answer still has a deliberate path behind it. I built the system so the source, retrieval step, and evidence remain inspectable.

Ingest the material

Parse PDF, DOCX, TXT, Markdown, or pasted text, then report unreadable files instead of silently indexing an empty document.

Preserve where it came from

Split documents into boundary-aware chunks while keeping source name, page metadata, character range, and chunk order attached.

Retrieve before answering

Embed the question, search the course-specific Pinecone namespace, and pass the most relevant chunks into answer generation.

Cite or say it cannot verify

Return inline citations and an evidence drawer for supported claims, while surfacing missing or ambiguous information instead of guessing.

Ways a student can use it

Answer the question in front of you

“Is the quiz multiple choice?” “How long should the research paper be?” The answer stays inside the course sources.

Turn a rubric into a checklist

See what to submit, what the rubric prioritizes, and what still needs clarification before starting the assignment.

Make study material actionable

Turn the material into focused review prompts instead of another undifferentiated summary.

Show the evidence

Open the source behind the answer so you can verify the requirement before relying on it.

The experience

Material first. Then the right tool.

The sample course lets someone try the complete path in one click. Their own files use the same pipeline.

Course RAG Assistant workspace with a grounded answer and student tools
One workspace for questions, deadlines, study reviews, and assignment work.
Course RAG Assistant upload screen
Start with the material a student already has.
Course RAG Assistant cited answer with source evidence
Make the answer verifiable, not just plausible.

Useful after the answer

What exists today

The assistant can pull deadlines, requirements, and study material into focused tools so a student does not have to keep reopening the same documents.

Where it can go next

A future course plan could let students save selected dates and tasks, then export them to the calendar or planner they already use. The important part is making the output portable—not forcing another place to manage school.

Designing for trust

The assistant should make course material easier to use without pretending to replace it. That means starting with the student's own sources, giving them different ways to work, and making the evidence visible whenever an answer matters.

Try the live demo →