Data sources: PDFs, URLs, docs
Train the bot on your own content — upload PDFs, paste a URL for crawling, or import from Notion and Google Docs. Answer quality depends heavily on the quality and completeness of what you feed it.
Build a ChatGPT-style chatbot from your own documents — for customer support, internal knowledge, or as a resellable service to SMB clients.
Affiliate link — costs you nothing extra, helps keep this site free.
Chatbase lets you upload your content (PDFs, websites, docs) and turns it into a chatbot that answers from your specific material — not generic web data. There's a free plan to test the setup before committing. The realistic framing: the bot is only as accurate as the docs you feed it, and complex multi-step support questions still benefit from a human in the loop. Where it shines is the routine 80% — FAQs, policy questions, product lookups — that drains support teams and frustrates customers waiting for replies.
Train the bot on your own content — upload PDFs, paste a URL for crawling, or import from Notion and Google Docs. Answer quality depends heavily on the quality and completeness of what you feed it.
Embed the chat widget on any website with a script tag, or connect via API for custom integrations.
Configure the bot to collect name and email before or after conversations. Useful for qualifying inbound leads before a human follow-up.
See what questions the bot is getting, where it fails to answer, and what topics need better training data. This is the main feedback loop for improving the bot over time.
Choose from GPT-3.5 (cheaper, lower quality) or GPT-4 (better answers, higher cost per message). The quality difference on nuanced questions is significant enough to matter.
Under an hour for a basic working bot if you have organized source material. Add another hour or two to test edge cases and adjust phrasing in your training data.
GPT-3.5 handles simple, direct questions reasonably well. For multi-step questions, edge cases, or questions where the answer isn't explicit in your docs, the GPT-4 quality difference is significant enough to matter.
By messages per month, not by bot or user. The starter plan has a message cap you can hit quickly on a live site. Check the current pricing before assuming the entry plan is enough — the tier that includes GPT-4 and meaningful message volume is usually what businesses actually need.
It handles the first-response layer: common questions, FAQs, account basics. It can't handle judgment calls, escalations, or anything requiring access to account-specific data outside its training. Think of it as support deflection, not support replacement.
By default it tries anyway — which is the risky behavior. Configure a fallback to human handoff or an explicit 'I don't have that information' response for questions outside its scope, otherwise you'll get confident wrong answers.
Build a ChatGPT-style chatbot from your own documents — for customer support, internal knowledge, or as a resellable service to SMB clients.
Build your bot free →Affiliate link — costs you nothing extra, helps keep this site free.