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“Chat with your knowledge base” means you ask a question in plain language and get an answer drawn from your own documents, not the open internet. We connect a language model to your content (help docs, policies, product specs, past tickets, a catalog, a wiki) so people can ask a question and get a direct answer with the source it came from. It turns a pile of files nobody reads into something you can actually query.

The technique behind this is retrieval: when someone asks a question, we find the most relevant passages from your content first, then hand those to the model and have it answer using only what it was given. That keeps answers grounded in your material and cuts down on the model making things up. We show the source behind each answer so people can trust it and check it.

What you get

  • A search and answer layer over your own documents, in plain language.
  • Answers that cite their source so a reader can verify them.
  • A pipeline that keeps the knowledge current as your documents change.
  • Access controls so people only see answers from content they’re allowed to read.

We run knowledge bases like this on our own agency, so we know the part that actually matters: the system is only as good as the content behind it. If your documents are out of date or contradict each other, the model will hand that right back to you. Cleaning up the source material is part of the work, and it’s usually worth doing before you turn this on. Done right, it’s the difference between answers people trust and answers they don’t.

Enough Talk, Let's Build Something Together

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