# Knowledge base: one place for everything your AI answers from

coreAI's knowledge base is the central store that ties all your content into a single searchable source. It decides what your AI can answer and how accurate the answers are.

## What is a knowledge base?

A knowledge base is a structured collection of all the content your AI should be able to answer from. In coreAI it is far more than a pile of text: it is an indexed graph of entities – products, articles, contacts, documents, events, and job postings – with relations between them and metadata that lets both people and AI quickly find what they are looking for.

Without a good knowledge base, the AI ends up guessing or pulling answers from generic models. With a good knowledge base, the AI always answers from your content, with source references.

## How coreAI builds your knowledge base

### 1. Import content from every source

coreAI ingests content from four main source types:

- websites, through automatic crawling of your domain
- documents, such as PDFs, Word files, presentations, and spreadsheets
- product catalogues, from ERP, PIM, or webshop via API
- structured APIs, for contacts, events, jobs, and more

You decide which sources are included and how often they refresh.

### 2. Structuring with vectors, relations, and metadata

Once content is imported, coreAI does three things in parallel:

- vectorises the text, so semantic search understands what the content is about
- builds relations between entities, for example linking a product to its manual
- extracts metadata, such as dates, prices, categories, and locations

The result is that the same document can be surfaced by keyword, by meaning, or because it relates to another relevant entity.

### 3. Continuous updates

The knowledge base is not a one-off job. coreAI monitors the sources and updates the index automatically whenever you add, change, or remove content. Changes to your website or product catalogue show up in search and AI answers within a short time.

## Live data and actions through MCP servers

Beyond the indexed content, coreAI can also connect to external MCP servers as a client. That lets the assistant fetch fresh information – or perform actions such as updating an order or logging an enquiry – in other systems while the conversation is in flight, without anything being copied into the knowledge base. coreAI reads which tools the MCP server exposes and stores the schemas as configuration on the assistant; the calls themselves only happen when a user question actually needs them.

The knowledge base becomes your archive of curated sources, while MCP gives the assistant access to live data and operations – the right tool for the right type of task.

## Why it matters

The quality of your AI is tightly linked to the quality of the knowledge base. Three things are decisive:

- breadth – the more relevant sources, the more questions the AI can answer
- structure – without metadata and relations, results turn generic
- freshness – outdated content produces outdated answers

coreAI handles all three automatically, so you can focus on the content, not the infrastructure.

## Your data, your answers

All content in the knowledge base stays on Norwegian infrastructure and is used only to answer questions from your own users. No data is shared with third-party models for training, and you keep full control over which sources are active at any given time.

With a strong knowledge base, the AI moves from a guessing machine to a precise assistant that always answers from your own sources.