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Intermediate
Automation
Customer Support
Business
Productivity

Build a Custom Chatbot Trained on Your Business Knowledge

Deploy a chatbot that answers customer and team questions accurately using your own docs, FAQs, and SOPs — reducing support volume by up to 40%.

Time Required

2–3 hrs

Expected Result

A live chatbot embedded on your site or internal tool that answers questions from your uploaded knowledge base and hands off complex queries to a human.

1

Gather and organize your source documents

Collect your FAQs, product docs, SOPs, and help center articles. Consolidate them into clearly named PDF or text files — the cleaner the source material, the better the chatbot answers.

Notion AI
2

Build and train the chatbot

Upload your documents to Chatbase. Create a new chatbot, configure its name and personality, and train it on the uploaded files. Test it with 20 questions your customers actually ask.

Chatbase
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3

Refine responses and set guardrails

In Chatbase, review answers that missed the mark. Add custom Q&A pairs for high-priority questions and set a fallback message that routes users to a human when confidence is low.

Chatbase
4

Embed on your site or connect to Slack

Copy the Chatbase embed snippet and drop it into your website. Alternatively, use Zapier to connect Chatbase to a Slack channel so your team can query the bot directly.

Chatbase
Zapier
5

Monitor and improve weekly

Review the Chatbase conversation logs weekly. Use unanswered or low-confidence queries as prompts for Claude to draft new FAQ entries, then re-upload to keep the bot current.

Claude
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