05 · AI integration & development
AI integration & web apps
AI features inside your website, portal or software – fast, beautiful and scalable.
Retrieval-augmented generation
Ask a question. Get an answer with sources.
Knowledge lives in manuals, contracts, tickets, emails and people’s heads. An AI knowledge assistant finds the relevant passages in seconds, writes a clear answer and shows where it came from – using only content the person asking is allowed to see.
Why it matters
AI knowledge assistants (RAG)
Retrieval-augmented generation (RAG) combines smart search across your documents with a language model. Instead of “guessing” from memory, the AI answers based on the passages it found and links to them. That makes answers verifiable and significantly reduces hallucinations.
We take care of everything a good RAG system needs: clean source preparation, hybrid search, re-ranking, permission checks, updates when content changes and an interface your team enjoys using – in the browser, in Teams/Slack or as an MCP server inside Claude or ChatGPT.
What you get
Scope of work
Data connectors
SharePoint, Google Drive, Confluence, Notion, file servers, help desks and databases.
Hybrid search
Semantic vector search plus keyword search and re-ranking for precise hits.
Citations
Every answer links to the documents and passages it used.
Permission sync
Employees only get answers from documents they can access.
Multilingual
Ask in German, get answers from English documents – and vice versa.
Quality metrics
Test question sets continuously measure retrieval and answer quality.
Typical uses
What companies use it for
- Internal help desk for policies, processes and product knowledge
- Technical support with access to manuals and ticket history
- Contract and tender analysis with exact references
- Onboarding assistant for new employees
- Customer-facing product advisor on your website
Process
How we work
Review sources
Which documents are relevant, current and trustworthy?
Build the pipeline
Automate preparation, indexing, permissions and updates.
Test with your team
Real questions, real feedback – until you are happy with the quality.
Roll out
Integrate with the tools your team already uses every day.
Technology
What we work with
- pgvector
- Qdrant
- Elasticsearch
- Embeddings
- Re-ranking
- MCP
- Microsoft Graph
- Confluence API
FAQ
Frequently asked questions
What does RAG mean?
RAG stands for retrieval-augmented generation: the AI first searches your documents for relevant passages and only then writes an answer based on them – including citations.
Do our documents leave the company?
That is your call. We can work entirely within your infrastructure, with an EU cloud provider or in a hybrid setup. For sensitive data we use locally hosted models.
How up to date are the answers?
The knowledge base syncs automatically with your sources – in real time or at fixed intervals, depending on the system.
Can the assistant work inside Microsoft Teams or Slack?
Yes. As well as a web interface, we can integrate the assistant into Teams or Slack, or provide it as an MCP server for Claude and ChatGPT.
All services
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Ready for your first automation?
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