AI Knowledge Base – Preserve Your Company Expertise
Secure valuable company knowledge permanently – before it retires with experienced employees. Our AI-powered knowledge base makes implicit knowledge searchable, usable, and accessible to new generations.
Our Knowledge Base Services
Knowledge Transfer from Experts
Capture and preserve expert knowledge.
- Expert Interviews
- Process Documentation
Intelligent Search
AI-powered search in documents and processes.
- Semantic Search
- Context Understanding
Chatbot Access
Natural language access to company knowledge.
- AI Chatbot
- Quick Onboarding
Frequently Asked Questions
FAQ about AI Knowledge Base
Basics & Technology
What is a RAG-based knowledge base?
RAG (Retrieval-Augmented Generation) connects language models with your own data. The AI provides answers that are based on your documents – traceable and up-to-date.
Which data sources can be connected?
Practically everything: SharePoint, Confluence, file servers, databases, ticketing systems, emails, PDFs. We develop customized connectors for your data landscape.
Security & Data Protection
Does my data remain in my environment?
Yes, we can run the system on your infrastructure or GDPR-compliant cloud. Your documents are not used for AI training. Complete data sovereignty.
What about access rights?
The AI respects existing access rights. Users only see information they are authorized for in the source systems. We integrate with your IAM/LDAP.
Plan AI knowledge base? We analyze your data sources and develop a tailored solution.
Schedule ConsultationCosts & Pilot
What does a knowledge base cost?
A pilot project starts at around 8,000 €, enterprise solutions including integration and operation correspondingly higher. Plus hosting costs and optionally API costs for language models.
Can we test first?
Yes, we recommend a pilot with a defined data set and user group. So you see the benefit before making a larger investment.
Operation & Development
How is the knowledge base kept up to date?
Through automatic synchronization with source systems. New documents are indexed, old ones updated. You define update intervals and quality checks.
Can we expand the system later?
Yes, modular architecture. New data sources, additional use cases, or multilingualism can be added step by step.
Questions about AI knowledge bases? We advise on technology, costs, and implementation – from experience with many RAG projects.
Contact UsRelated Topics
Complementary Services from Other Areas
These services are frequently requested together with AI Knowledge Base or complement it thematically.
Data, Analytics & Databases