The rms AI Knowledge Hub is the central knowledge layer of your AI Suite. It bundles company knowledge from documents, systems and specialist sources - and makes it available for AI Search, AI Assistant, Chatbot and Analytics in a controlled, comprehensible and consistent manner.
➔ No reliable AI without a knowledge hub.
The AI Knowledge Hub is the central backend of the rms AI Suite. This is where company knowledge is brought together, processed and managed before it is used by AI applications.
All content - from documents, websites, wikis, DMS or specialist systems - is recorded, analysed and contextualized in a structured manner. Only then is it available for AI Search, AI Assistant, Chatbot and Analytics.
The Knowledge Hub ensures that AI does not improvise freely, but only accesses approved, up-to-date and traceable content.
It ensures that AI:
only works with consciously linked knowledge
provides contextual, consistent and verifiable answers
does not generate contradictory or outdated knowledge
➔ The AI Knowledge Hub is not a black box, but a controllable knowledge infrastructure with clear rules for content, rights, sources and use.
Control, data sovereignty and GDPR – right from the start.
Understanding security and GDPR
How AI finds, evaluates and uses knowledge – instead of hallucinating.
Understanding technologyFrom system to context - controlled via the AI Knowledge Hub.
The graphic shows how the AI Knowledge Hub acts as a central knowledge layer between your systems and all AI applications.
It collects, processes and controls knowledge from a wide variety of sources - and makes it uniformly usable for search, assistant and chatbot.
The AI Knowledge Hub is the central knowledge layer of the rms AI Suite.
It bundles content from documents, websites, wikis and specialist systems, prepares it in a structured way and makes it available to all AI modules (AI Search, AI Assistant, Chatbot, Analytics) in a controlled manner.
The AI Knowledge Hub is not AI, but the controllable knowledge infrastructure on which AI functions work safely and reliably.
No traceable, trustworthy AI without a Knowledge Hub.
Typical knowledge sources are:
Documents & files (PDF, Word, Excel, presentations)
Websites & CMS content (e.g. TYPO3)
Wikis & structured content (e.g. Confluence)
DMS & file storage
Chats & collaboration (e.g. Slack, Microsoft Teams)
Specialist systems & databases (read-only or synchronized)
No.
Only deliberately linked and approved content is included in the AI Knowledge Hub.
Access rights, roles and visibility from the source systems are retained.
Content is not only stored, but also
semantically analyzed and structured
extracted from PDFs and scans using OCR
broken down into contextually relevant knowledge units (chunks)
enriched with metadata, sources and timestamps
versioned and quality assured
This results in precise, comprehensible AI answers instead of hallucinations.
Yes.
The rms AI Suite is GDPR-compliant, auditable and without data leakage.
Data remains under your control - including on-premise or EU hosting options.
The AI Knowledge Hub is model-agnostic.
Different LLMs can be connected depending on the application scenario.
The model can be replaced at any time without changing the knowledge base.
Traditional systems manage content.
The AI Knowledge Hub turns it into contextual knowledge that is:
is understood instead of just found
Makes sources transparent
keeps answers explainable
can be used safely by AI
Yes.
Many customers start with a knowledge source or a use case and expand the hub step by step - technically and organizationally.
