What is an educational virtual agent?

An artificial-intelligence assistant that serves students, applicants, and faculty through chat (web, Moodle, WhatsApp, or Teams) and answers with the institution's official information. Unlike a menu-based chatbot, it understands natural-language questions and looks up the answer in the real documents before replying.

Why RAG instead of a chatbot on plain ChatGPT?

A language model without RAG answers from what it learned on the internet and can invent dates, requirements, or amounts. With RAG, the agent first retrieves the relevant passages from your regulations, calendars, and courses, and writes the answer only from them, citing the source. If the information is not in your documents, it says so and escalates to a person.

Which sources can the agent use?

PDF, Word, web pages, spreadsheets, databases, LMS course content (including transcribed class recordings), FAQs, and school systems through APIs. Sources update automatically whenever the original document changes.

How long until it is running?

An institutional agent built on existing sources is in production in 2 to 4 weeks: document collection and indexing, testing with real questions, tone adjustment, and deployment on the chosen channels. It then improves every month with the questions it could not resolve.

Educational Virtual Agents

Educational virtual agents: instant answers from your institution's sources

An educational virtual agent is an AI chatbot that answers students, applicants, and faculty instantly, in natural language, using only your institution's official sources thanks to a RAG system: regulations, curricula, calendars, scholarships, procedures, and course content. No made-up answers, every reply cites its source, and it escalates to a person when needed.

Educational virtual agent answering students about enrollment and scholarships with official institutional sources

AI fed by your own sources, not the internet

RAG (Retrieval-Augmented Generation) changes the rules: before answering, the agent searches a private base of your institution's verified documents and builds the answer from what it found. That is why it can say with confidence when enrollment closes, what the scholarship requires, or in which class a topic was explained, and why it can cite the exact document. When a question is not covered, it recognizes that and routes it to the registrar, a tutor, or the instructor with the full conversation context.

RAG agents

Why a RAG agent and not just another chatbot

What makes the community trust the assistant, use it every day, and stop overwhelming the registrar's office.

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Verified information

Answers only from documents approved by your institution and shows where every answer came from.

Available 24/7 on their channels

Web portal, Moodle, WhatsApp, Microsoft Teams, or Slack: students ask where they already are.

Escalates when it should

If a question is out of scope or it detects a sensitive situation, it hands off to a person with the full history.

Learns from the questions

Every unanswered question becomes a new source; the agent improves month after month.

Use cases

Use cases educational agents already solve

The same documents that are searched by hand on the portal or asked about by phone today, answered instantly.

Admissions and applicants: requirements, dates, costs, and application status
Student services: regulations, calendar, certificates, scholarships, and graduation
Course tutor: content questions, materials, and assessment dates
Faculty support: platform usage, academic policies, and forms
Library and resources: locating sources and citation guides

Educational virtual agent checking regulations, curriculum, and calendar to answer a student

Process

How we implement your agent

Step 1

We gather your sources

Regulations, curricula, calendars, FAQs, LMS courses, and systems through APIs. We define what the agent may answer and in what tone.

Step 2

We index and test

We turn the documents into a private vector database, test with hundreds of real questions, and tune until the accuracy convinces.

Step 3

We deploy and improve

We publish it on web, Moodle, WhatsApp, or Teams, measure resolution and satisfaction, and feed it every month with what it could not answer.

What the agent includes

Unlimited sources

PDF, Word, web, spreadsheets, databases, LMS courses, and transcribed recordings.

Automatic updates

When the original document changes, the agent answers with the new version without retraining anything.

Source citation

Every answer links to the regulation, page, or minute of the class it came from.

Access control

Applicants, students, faculty, and staff see only the information that applies to them.

Multichannel

Web widget, Moodle block, WhatsApp Business, Microsoft Teams, and Slack with the same knowledge base.

Analytics

What people ask, what it could not answer, and which documents are missing: a dashboard to improve institutional communication.

And for course content? Meet Geedle Bot

Trained on each course's materials and recordings
Explains the topic and delivers the recording at the exact minute and second
Remembers assessment dates and hands out materials
Lives in Moodle, WhatsApp, Teams, and Slack

Meet Geedle Bot

Geedle Bot answering a course question and delivering the class recording at the exact minute

Typical results of an educational agent

Ranges we see in institutions that serve their community with a RAG agent; in the assessment we estimate yours.

Requests resolved without human intervention

80 %+

80%

Admissions, procedures, calendar, and course-content questions resolved instantly; the rest reach a person with full context.

Accuracy with verified sources

98 %

98%

By answering only from indexed documents and citing the source, incorrect answers practically disappear compared with a generic chatbot.

FAQ

Frequently asked questions

How many repeated questions does your institution get today?

Send us your documents and we will show you, at no cost, how the agent would answer your community's 20 most frequent questions.

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