Build cited chatbots from documents websites and connected content
DocuChat is a chatbot builder that uses an organization's own content as the basis for answers. Sources can include documents, website pages, Google Drive folders and YouTube videos. A team can configure the bot, share it through a link or embed it on a website, with citations providing a route back to the supporting material.
The platform advertises OCR for scanned PDFs, layout-aware document processing and structured extraction from common office formats. Document insights show how content was parsed and divided for retrieval. This is useful when a correct answer depends on a table, heading or passage that might otherwise be overlooked. Source quality and freshness still matter, so test questions against the original documents before deployment.
DocuChat offers several model families, with fast models on lower tiers and a wider selection on Pro. The service emphasizes EU data residency, but model hosting and enterprise arrangements should be checked against the current trust documentation and chosen provider. Team permissions, branding and dynamic user context help tailor a deployment to its audience. Do not expose internal sources through a public chatbot without reviewing access carefully.
The free plan has explicit chatbot, page and AI-credit limits. Paid tiers increase those allowances, with optional extra usage and spend controls. Credits reflect model cost, so different questions or models can consume different amounts. Start with a focused knowledge area, inspect citations and monitor questions the bot cannot answer well. DocuChat can reduce repeated lookup work, but a cited response is not automatically accurate or complete. Maintaining the source collection and reviewing real conversations remain ongoing responsibilities.
