Docs and help center
An AI Chatbot for Your Documentation
Turn your docs, help center, and guides into a chatbot that answers in plain language from the pages you already wrote. Fewer repeat tickets, faster onboarding, and a clear list of what to document next.
Where it earns its keep
The questions a docs chatbot answers well, and why they are the ones that reach support.
Setup questions during onboarding
Where do I find the API key, how do I connect the domain, why is the import failing. The questions every new user asks in their first hour, answered without a ticket.
How-do-I questions
The reader knows what they want and not what you called it. Asking in plain language beats guessing the right page title in a sidebar.
Reference and limits
Rate limits, plan limits, supported formats, configuration options. Facts buried in tables that nobody scrolls to.
The first line before support
Most tickets are questions the docs already answer. Put the chatbot in front of the contact form and the ones that reach a human are the ones that need one.
What to train it on
Start with the pages that generate questions, and leave out the ones that would mislead.
Getting-started guides
The pages that take a new user from zero to first result. These generate the most questions and deserve to be first.
Reference pages
Settings, options, limits, and error messages. Dry to read, perfect to query.
Troubleshooting
Known issues and their fixes. A reader with an error message wants the fix, not the concept, and a chatbot can match the two.
Not the changelog archive
Old release notes describe behaviour that no longer exists and will be quoted confidently. Add only what is true today.
Inline in your docs
The chat mode renders as a panel inside any container, so it can sit where a search box would.
<link rel="stylesheet" href="https://cdn.cortexvia.in/chatbotsdk-web.css" />
<script src="https://cdn.cortexvia.in/chatbotsdk-web.iife.js"></script>
<div id="cv-inline-chat" style="height:72vh"></div>
<script>
window.ChatbotSDK.mount("#cv-inline-chat", {
chatbotKey: "ctx-cb-xxxxxxxxxxxxxxxx",
config: {
mode: "chat",
title: "Ask about my work",
inputPlaceholder: "Ask anything..."
}
});
</script>Replace the placeholder key with the one from your Chatbots area. Switch mode to chatbot for the floating launcher instead.
- Give the container a height in inline mode; the panel fills it
- Load the two CDN files once per page, not once per panel
- Works on any docs platform that allows a script tag
Keeping answers trustworthy
A docs chatbot is judged on the one wrong answer, not the hundred right ones.
Not covered means not covered
When your docs do not answer a question, the chatbot says so instead of improvising. Every such question is a page you should write.
A clear path to a person
Add your support email and contact page as support contacts, so a stuck reader is one click from a human rather than stuck in a loop.
Updated with each release
Re-add a page when it changes. No retraining step, so keeping the chatbot current belongs on the release checklist next to the changelog.
Inline or floating
Render it as a panel at the top of your docs like a search box, or as a floating launcher on every page. Same snippet, one config value.
Questions
What docs and support teams ask before adding a chatbot.
Related
Other ways teams use a chatbot trained on their own content.
Start with your getting-started guide
Add the pages new users read first, ask the questions they ask, and put it in front of the contact form.
One guide, twenty questions, one afternoon. If the answers hold on your own docs, the rest of the help center is the same job repeated.