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Chatbase lets businesses build a custom AI chatbot trained specifically on their own content, such as a help center, product documentation, or uploaded PDFs, so the resulting assistant answers questions using accurate, company-specific information rather than generic model knowledge. Setup involves connecting a data source, whether that's a website to crawl, a set of documents to upload, or an existing knowledge base, after which Chatbase automatically builds a retrieval index the chatbot uses to ground its answers, reducing the risk of the AI making up incorrect information about the business. The resulting chatbot can be embedded on a website as a widget, connected to Slack or WhatsApp, or exposed through an API, letting teams deploy the same trained assistant across multiple channels their customers actually use. Chatbase includes analytics on what customers are asking, which questions the bot fails to answer well, and lead-capture features that let the chatbot collect contact information mid-conversation, turning a support tool into a light sales channel as well. It's designed for small businesses, SaaS companies, and agencies that want to deploy a capable AI support assistant without hiring a machine learning engineer to build a custom retrieval-augmented generation pipeline from scratch, giving non-technical teams a guided path to a working, on-brand AI chatbot in under an hour.