Chat With Your Own Documents

Knowledge Base Chatbots That Answer From Your Content

We build assistants grounded in your own documents, policies and wikis. Ask a question and it finds the right passage, answers from it, and shows you the source. For your team, your customers, or both — and when your documents do not have the answer, it says so instead of guessing.

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Overview

Stop searching the wiki. Just ask it.

Finds by meaning

Ask in your own words. It matches the question to the right passage even when the wording differs.

Answers from your content

Responses are written from your approved documents, not from whatever the model half-remembers.

Shows its sources

Every answer points back to the document and passage it came from, so it can be verified in a click.

Saves the hunting

Answers in seconds instead of a search across five tools and a message to a colleague.

Every company has the answer somewhere. It is in a policy PDF, a Confluence page nobody updated, a product spec, or the head of the one person who is on leave this week. Your team loses hours a week hunting for it, and new hires lose their first month.

A general chatbot will not fix that. It will answer confidently and be wrong.

A knowledge base chatbot works differently. We connect it to your own documents, and for every question it first finds the passages that actually address it, then writes the answer from those passages only — with the source attached so anyone can check it. If your documents do not cover the question, it says so instead of guessing.

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Finds by meaning

Ask in your own words. It matches the question to the right passage even when the wording differs.

Answers from your content

Responses are written from your approved documents, not from whatever the model half-remembers.

Shows its sources

Every answer points back to the document and passage it came from, so it can be verified in a click.

Saves the hunting

Answers in seconds instead of a search across five tools and a message to a colleague.

Knowledge Base Chatbots (RAG)

What Your Knowledge Assistant Can Do

One assistant, grounded in what your business actually knows — for your team, your customers, or both.

Internal Team Assistant

Policies, SOPs, runbooks and past project notes, searchable by asking. New starters get answers without interrupting a senior colleague.

Customer-Facing Help

The same grounding on your website or help centre, answering product and policy questions straight from your published documentation.

Chat With Your Documents

Contracts, reports, specs and long PDFs. Ask a question across hundreds of files and get the passage back, not a list of search hits.

Respects Who Can See What

Access follows your existing permissions, so a question from sales never surfaces a passage that only HR is allowed to read.

Stays Current On Its Own

When a document changes, the assistant re-reads it. Nobody has to retrain anything or remember to update a second copy.

How It Works

How Every Answer Gets Built

This is what separates a knowledge base chatbot from a chatbot that simply sounds sure of itself. Four steps run on every single question.

01
You ask
A plain-language question, from a chat window, Slack, or your help centre.
02
It retrieves
The assistant searches your documents by meaning and pulls back the few passages most relevant to that question, filtered to what the asker may see.
03
It answers from them
The model writes the reply using only those passages. The rest of its general knowledge is not allowed to fill gaps.
04
It shows its sources
The answer links to the documents it used. If nothing relevant was found, it says so and offers to pass the question to a person.

What We Can Connect It To

We bring your content in from wherever it already lives, and keep it in sync.

PDF and Word documents
Help centre articles
Confluence and Notion wikis
SharePoint and Google Drive
Spreadsheets and product catalogues
Slack threads and ticket history
Your website and public docs

How We Work

From Scattered Documents to a Live Assistant

Most of the work is not the chatbot, it is the content behind it. These six steps are how we get from "it is somewhere in the wiki" to an assistant your team trusts.

01
Audit Your Content
We map where your knowledge lives, what is current, what contradicts itself, and what is missing, before anything is built.
02
Choose What It Knows
We agree which sources it reads and who may see which of them, so permissions are settled up front rather than patched later.
03
Ingest & Index
We connect your sources, clean and split the documents into passages, and index them so they can be searched by meaning.
04
Tune Retrieval
We test it against real questions from your team and adjust until the right passage comes back first — and the wrong one stays out.
05
Set The Guardrails
We define how it cites sources, what it does when it does not know, and what it must refuse to answer at all.
06
Launch & Keep It Fresh
It goes live on the channels your people already use, re-reads changed documents automatically, and we review the questions it could not answer.