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Company knowledge should
stay findable and current.

An LLM wiki can open up information from released documents for daily work.

Knowledge is spread over project folders, manuals and the experience of individuals. New employees search for a long time, while outdated documents keep being found. An AI search therefore needs maintained sources and suitable access rights. A rollout also covers responsibilities for updating and removing content, so that answers rest on the valid state of knowledge.

Start now at no cost

In a free first conversation we look at which documents come into question, in what form they exist and who may access what.

See the person in charge

Scope of services

Bring sources together usefully

Company and project knowledge is opened up for the task in question.

Respect permissions in the search as well

Access levels distinguish general, business and team-related content.

Use knowledge in the workflow

The connection supports questions and further processing in applications.

Answers from released knowledge

IQstruct Engineering connects knowledge sources with an LLM-based wiki and RAG.

For every answer, RAG draws on the relevant content from the connected sources. Separate knowledge areas and different access levels limit access; authorised people can use several areas together.

Company knowledge, business content, development and projects often need different access levels. The hybrid concept keeps these areas separate and connects them for authorised people. Local operation is intended for confidential content.

Person working at a monitor and a notebook with source code

Knowledge management

Employees find what their task needs

A connected AI knowledge base makes released information from documents, projects and business systems usable.

Approach in the project

  1. Three people inventory documents, projects and information systems at a tableAi

    1

    Record knowledge sources

    Documents, projects and information systems are inventoried together.

  2. An administrator sets up sources and separate knowledge areas with access rights on the screenAi

    2

    Build the LLM wiki

    Sources and separate knowledge areas are set up with access rights.

  3. An employee asks the AI assistant a question while a colleague checks the answer against the documentAi

    3

    Use AI in everyday work

    Your team trials the assistant and checks its answers against the documents.

  4. An employee shows a colleague new and outdated sources of the knowledge base on the screenAi

    4

    Maintain the knowledge base

    New sources are added, and outdated ones are removed from the active knowledge base.

The LLM wiki in our own operation

In use

IQstruct Engineering operates LLM-based knowledge management with RAG within its own company.

Separate areas

Different access levels protect confidential content.

Local operation

The system runs on our own hardware in-house.

Funding

Clarify funding options before placing the order

Funding programmes may be available for consulting on and trialling your AI project.

IQstruct Engineering supports the survey, the project outline and the preparation of the application documents. Your company submits the application. Whether and to what extent funding is possible depends on the programme, the location and the project.

View funding programmes and requirements

Frequently asked questions

We are glad to answer your detailed questions in a personal conversation.

Are answers with source references always correct?

Answers with source references are also reviewed technically. The source reference makes this review easier.

Who sees which content?

Access rights are defined for the knowledge areas in question.

Does confidential content stay within the company?

Local operation on your own hardware is intended for confidential content.

Further industry solutions

Every industry has its particularities. That calls for a reliable partner who knows the requirements and delivers suitable solutions.

First conversation

Arrange a free first conversation

Describe your task. We agree a date and discuss the possible project scope.

  1. Notebook on a desk with an open calendar and a selected appointmentAi

    1

    You request an appointment

  2. Meeting on planning a local AI assistant with company knowledgeAi

    2

    We discuss your requirements

  3. Person trialling an AI assistant that answers from provided documentsAi

    3

    You receive a quotation for the agreed scope

Philipp Niemann-Stryczek
Philipp Niemann-StryczekManaging DirectorLeads the company on the commercial side and answers questions on IT/OT security, asset administration shells, compliance and research projects.
Free first conversation

Describe your task in the contact form. We come back with a proposed date.

Arrange a first conversation

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