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AI Agents & Automation

Knowledge Base Assistant (RAG)

An AI assistant answers questions from your team or customers based on your own documents, and cites the source.

The problem

Knowledge is scattered across manuals, wikis, contracts, PDFs and the heads of a few colleagues. New hires ask the same questions again and again, and finding the current version of a document wastes time every day. General AI tools do not know your content and guess when unsure.

What is included

  • Audit of your knowledge sources and access rights
  • Document preparation and indexing (retrieval-augmented generation)
  • Answers with a link to the original document
  • Permissions model: who may query which content
  • Interface as a web app, Slack or Teams bot, or website widget
  • Automatic updates when documents are added or changed
  • Optional: hosting in the EU or on your own infrastructure

What you get

  • Knowledge assistant ready to use in your chosen interface
  • Connected and indexed knowledge sources
  • Documented permissions and data concept
  • Test set of typical questions with verified answers
  • Operations and maintenance guide

Process

How it works

  1. 01

    Gather sources and questions

    We clarify which documents matter, who will use the assistant and what it should answer.

  2. 02

    Prototype

    We build a first version on a slice of your data so you can judge answer quality early.

  3. 03

    Full build

    We connect all sources and implement permissions, the interface and automatic updates.

  4. 04

    Rollout

    We test with your team, train users and either hand over operations or keep running them for you.

FAQ

Questions about this service

Does the assistant make up answers?

It is set up to answer only from your documents and to cite the source. If it finds nothing relevant, it says so rather than guessing. Errors can never be ruled out entirely with language models, which is why source citations are mandatory.

Will our documents be used to train the AI?

No. We use API access where, under the provider's terms, your data is not used for training, or models hosted in the EU or on your own infrastructure. Access rights from your systems are preserved.

Why is there no fixed price?

Effort and running costs depend heavily on data volume, formats, sources and permissions. After a short call you get a concrete quote, starting with just a prototype if you prefer.

Intro call

Knowledge Base Assistant (RAG) – let’s get started.

In a free intro call we clarify what you need, what it costs and when it will be done. No sales pressure.