Plain English

AI knowledge base, explained without the jargon

Most pages about this — including some of ours — open with words like MCP, RAG and retrieval. If those mean nothing to you, that is not a gap in your knowledge. It is a failure of the writing.

Here is the whole idea in one sentence: it is the place your team writes things down, except you can ask it questions and get an answer.

The problem it solves

Every company accumulates knowledge that lives in the wrong places. How refunds over a certain amount get approved. Which supplier to call when the usual one is closed. What the new-starter checklist is. Usually this sits in someone’s head, in a chat message from eight months ago, or in a document nobody can find.

The cost is not dramatic. It is a slow leak: the same question asked repeatedly, new people taking longer to become useful, and one person becoming a bottleneck because only they remember how something works.

A knowledge base is the fix, and it is an old idea. The new part is that you no longer have to know which document holds the answer — you ask, and you get told.

How it works

1. You write things down

Ordinary documents in ordinary language. There is no template to learn and no fields to fill in. If you can write an email, you can write a doc here.

2. You ask questions instead of searching

Type “what's our refund policy over 500 euros?” and get the answer, along with the document it came from — so you can check it rather than take it on trust.

3. Optionally, your AI tools can read it too

This is the part called MCP. It means an AI assistant your team already uses can be pointed at your knowledge base, so it answers from your documents. Entirely optional, and someone technical can set it up in minutes.

4. Nothing is edited on your behalf

Ziikly reads. It does not write to your other tools, change records, or send anything. The worst it can do is show you something you already had.

What it will not do for you

A reasonable way to start

Do not try to document everything. Write down the three questions your team asks each other most often — the ones that make you think “we have answered this before”. That is usually twenty minutes of writing, and it is enough to tell whether this helps you.

Common questions

What is an AI knowledge base, in plain English?
It is the place your team writes things down — how you handle refunds, which supplier to call, what the onboarding steps are — with the addition that you can ask it questions and get a direct answer instead of hunting through documents.
Do I need to be technical to use it?
No. Writing a doc works like writing an email. If you can use a shared folder, you can use this. The technical parts, like connecting an AI assistant, are optional and can be added later by whoever handles your tools.
How is this different from just using ChatGPT?
A general AI model knows what was on the public internet. It does not know your refund policy, your supplier list or your onboarding steps. Ziikly answers from your own documents, so answers reflect how your company actually works.
Will it make things up?
It answers from your documents and shows which ones it used, so you can check. If the answer is not in your knowledge base, it should tell you that rather than invent one.
What is MCP, and do I need to care?
MCP is a standard way for AI assistants to read from a source. In practice it means AI tools your team already uses can be pointed at your knowledge base instead of guessing. You do not need to understand it to use Ziikly — it matters only if you want to connect another AI tool later.
What does it cost to try?
The knowledge base is free. You can write docs and search them without paying, and without a card.

If you want the technical version instead, the knowledge base, AI search and MCP pages go into detail.