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Plain answer

AI chatbots that cite their sources (and refuse to guess)

Short answer

The reliable pattern is grounded answering with an escape hatch: retrieve passages from your real content, answer only from them, show the sources in the reply, and — when retrieval confidence is low — ask a clarifying question or hand off to a human instead of answering. A support bot that can't say 'I don't know' will eventually lie for you.

Why support hallucinations are a business problem, not a model quirk

A hallucinated refund policy is a promise your company now has to argue about. Courts and regulators have already treated chatbot statements as binding company representations — famously in Air Canada's tribunal loss over its chatbot's invented bereavement-fare policy. The bar for a customer-facing bot is therefore higher than "usually right": every answer needs provenance, and every gap needs an honest exit.

The three mechanisms that make answers trustworthy

  1. Grounding: the model answers only from retrieved passages of your content (see what is a RAG chatbot). Flocci Chat retrieves with hybrid vector + full-text search and instructs the model to answer strictly from that context.
  2. Citations in the reply: sources stream alongside the answer as chips a visitor can open. This isn't decoration — visible provenance disciplines the whole pipeline, because a wrong citation is immediately checkable.
  3. A confidence gate with real exits: Flocci Chat scores retrieval confidence every turn. Weak retrieval routes to a clarifying question ("are you asking about credit cards or bank transfers?") or a human handoff that opens a real support ticket — with the transcript attached — in the built-in inbox. Sensitive topics escalate automatically.

Questions to ask any vendor claiming "no hallucinations"

Trust is also an operations discipline

Grounding gets you correct answers; operations keep them correct. Flocci Chat's dashboard tracks answer quality evals, reliability/SLO metrics, top questions and knowledge gaps, with a launch checklist gating go-live. The result is a support surface you can put in front of customers and defend afterwards — every answer traceable to a page you actually published.

Frequently asked questions

Can an AI chatbot really avoid hallucinating?

It can avoid answering from imagination. Grounded retrieval plus a confidence gate means the bot only answers when your content supports it, shows the supporting sources, and clarifies or escalates otherwise. That converts 'hallucination risk' into 'coverage gaps you can see and fix'.

What does Flocci Chat do when it doesn't know?

It says so — asking a clarifying question when the query is ambiguous, or offering a human handoff that creates a real ticket with the transcript. It never invents an answer to avoid the handoff, and those turns cost you nothing.

Are chatbot answers legally binding on my company?

Treat them as if they are. Tribunals have held companies to their chatbots' statements (Air Canada, 2024). This is exactly why grounded, cited answering with human escalation is the only responsible default for customer-facing AI. (This is general information, not legal advice.)

Do citations slow down the chat experience?

No — Flocci Chat streams the answer token by token and attaches source chips alongside; retrieval happens in milliseconds inside PostgreSQL before generation begins.

Try it on your own website

One script tag. 500 free credits — roughly 500 answered visitor messages. Every feature on, no card. The widget in the corner of this page is the product, running on its own site.

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