Ask your documents. Get a cited answer.
A knowledge base that answers questions in plain language from your own private documents — and links every answer back to the exact source it came from. When the docs don't have the answer, it says so, instead of making one up. Grounded, cited, and private.
The answer is in a document nobody has time to read.
Every organisation sits on a pile of knowledge — handbooks, policies, specs, past tickets, wikis — where the answer to most questions already exists, buried somewhere nobody can find it fast. So people ask a colleague, or guess. A generic AI chatbot isn't the fix: it answers from the internet and will confidently invent things. This demo shows the right shape — a knowledge base that retrieves the relevant passages from your own documents, answers from those, and cites each one, so the reply is both fast and checkable. Not a confident guess; a grounded answer with its receipts attached.
A search box that actually answers.
- 01
Answers in plain language
Ask a normal question and get a direct answer — no keyword guessing, no scrolling through a dozen documents to find the one line that matters.
- 02
Grounded in your docs
Replies come only from the documents you point it at — your knowledge, not the open internet — so they match how your organisation actually works.
- 03
Cites every source
Each answer links back to the exact passage it came from, so any reply is one click from being verified against the original.
- 04
Knows what it doesn't know
When the documents don't contain the answer, it says so — rather than inventing a confident, plausible-sounding one.
From a question to a cited answer.
- 1AskA plain question
- 2RetrieveRelevant passages
- 3GroundOnly from your docs
- 4AnswerClear and direct
- 5CiteBack to the source
You ask in plain language; the system retrieves the passages from your documents most relevant to the question; it grounds its answer strictly in those passages; it replies clearly and directly; and it attaches a citation to each claim so you can read the source. Every step is designed so the answer is traceable — not a confident sentence with no provenance.
Grounded, cited, or honest about not knowing.
The knowledge you already have — finally answerable in seconds, and verifiable.
Your knowledge — not the internet's.
The answers come from the documents you point it at and nothing else, so they reflect your policies, your products, your way of doing things — not a generic model's best guess. Connect a help center, a drive of PDFs, past tickets, a wiki; it indexes them and answers from that corpus, and re-indexes as the documents change.
- Answers strictly from your own documents
- Connects to PDFs, wikis, drives, tickets, and more
- Re-indexes as your docs change — never stale
No answer without a source.
The reason most internal AI never gets trusted is that nobody can check it. So every answer here carries citations — the document and the passage behind it — one click away. The easy questions you take at face value; the important ones you verify in seconds. And when there's no supporting source, it tells you, rather than filling the gap with something invented.
- A citation to the source passage behind every answer
- Verify in one click — read the original, don't guess
- An honest “not found” when the docs don't have it
When the knowledge exists but can't be found.
Support teams answering the same questions
When agents and customers keep asking what the docs already answer, instant grounded answers cut the lookups and the wait.
Teams onboarding or scaling fast
When new people can't yet find anything, a knowledge base that answers and cites turns the whole archive into a patient expert.
Anyone sitting on a pile of documents
Policies, specs, contracts, research — if the answers exist but are unfindable, this is how they become reachable in seconds.
All your knowledge, on call.
Ask in plain language; get a grounded, cited answer from your own library.
The things teams ask first.
Make your documents answerable.
This Demo Lab build shows the pattern — ask, retrieve, ground, answer, cite. Point us at a slice of your real documents and we'll run it over them, so you can judge the answers and the citations on your own knowledge before scoping a build.