Your answers exist — in PDFs, help pages, policy docs, and a website nobody reads end to end. An Ageontic knowledge base chatbot indexes all of it and serves accurate, retrieval-grounded answers in chat: to your customers, your visitors, or your own team.
The difference between a knowledge base chatbot you can trust and a liability is where the answers come from. Ageontic agents use retrieval-augmented generation: your content is chunked, deduplicated, and indexed in a vector database; when someone asks a question, the agent first retrieves the most relevant passages from that index, then composes its answer from them.
That architecture has practical consequences. Answers cite reality — your prices, your specs, your policy wording — not internet averages. Updates propagate: re-ingest a page and the next answer reflects it. And boundaries hold: when a question falls outside the indexed knowledge, the agent is instructed to say so and capture the enquiry, not bluff.
Three ways to feed it: upload documents directly; point it at exact website pages; or crawl a whole site and let it map everything. Content is deduplicated automatically, so re-ingesting doesn't bloat the index.
Customer-facing, the knowledge base chatbot powers accurate product Q&A on your website — the backbone of the AI chatbot for business and the AI customer support agent. Visitors get real answers; you get captured leads and a record of what people actually ask.
Internally, teams point an agent at SOPs, HR policies, onboarding guides, and product documentation. New staff stop interrupting senior staff; everyone stops digging through folder trees. Embedding can be restricted to the domains you allow, and conversations are logged so you can see where documentation has gaps.
Either way, the agent's behavior is yours to define — tone, boundaries, escalation, and the opening message — with the built-in Setup Copilot drafting it alongside you.
Build your knowledge base chatbot today — documents, website, and APIs, one agent.