Custom RAG Pipelines & Knowledge Source Integration
In an era where enterprise data grows faster than ever, access to relevant knowledge becomes a competitive advantage. With a custom Retrieval-Augmented Generation (RAG) pipeline, you connect your internal knowledge sources directly with modern AI models.
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In an era where enterprise data grows faster than ever, access to relevant knowledge becomes a competitive advantage. With a custom Retrieval-Augmented Generation (RAG) pipeline, you connect your internal knowledge sources – such as documents, databases, or API data – directly with modern AI models. This generates not just answers, but contextually relevant insights based on your own data. Our solution supports you throughout: from conception through implementation to productive operation.
What is a RAG Pipeline?
The perfect combination of data retrieval and AI generation
A RAG pipeline combines the best of data retrieval and AI generation:
1. Prepare & Index Data
In the first step, your documents or data sources are split into chunks, embedded, and stored in a vector database.
2. Retrieve Relevant Data
When a user makes a query, the relevant material is retrieved from the vector database (retrieval).
3. Generate Contextual Answers
The retrieved material is passed to the LLM as context to generate a precise, data-based answer (generation).
The Result
Answers based on your data, not just on the generic training knowledge of a language model. This reduces hallucinations and improves reliability.
End-to-End RAG & Knowledge Source Integration
From conception to production operation
Data Architecture Design
Data source analysis, data preparation, and strategic planning of your RAG infrastructure
Pipeline Construction
Data ingestion, chunking, embeddings, vector DB, model integration – everything from one source
Knowledge Source Integration
Documents, APIs, databases, knowledge graphs – we seamlessly connect your knowledge sources
Middleware & Connectors
We build APIs and integrations to your systems so your data is seamlessly usable
Operations & Infrastructure
On-premises or hybrid, with GPU servers, hosting, monitoring, and security
Consulting & Training
We accompany you from idea to running application – with documentation and support in German and English
Success Stories: RAG Pipelines in Practice
How our customers use RAG solutions for competitive advantage
Case Study: Law Firm
RAG-based Document Research
!Challenge
A medium-sized law firm with numerous mandates and a large file archive found that research for precedent cases, briefs, and internal evidence was often very time-consuming – several hours per case. Additionally, sensitive client data was present that should not go to external cloud systems.
✓Solution with AI Cube
- RAG solution for knowledge database search: All briefs, judgments and internal documents in searchable knowledge database
- Lawyers ask questions in natural language and immediately receive relevant document sections with source citations
- Infrastructure remains completely in the firm's own network, operation and maintenance by the firm's IT service provider
→Result
Drastically Reduced Research Time
Lawyers can argue and decide faster
Strengthened Knowledge Base
New employees access proven documents much faster
Case Study: Private Clinics Network (Psychiatric Facilities)
Knowledge Database for Medical Protocols
!Challenge
A clinic network with multiple locations must manage large amounts of medical protocols, SOPs, training materials and internal reports. Documentation was fragmented and difficult to access – especially when it came to quick decision support and quality checks.
✓Solution with AI Cube
- Knowledge platform with BookStack as knowledge source (integration programmed by us), connected to RAG pipeline with Open WebUI + vLLM
- Employees can ask questions directly with immediate citation of the source
- AI Cube runs locally in the corporate network, operation and maintenance by us
→Result
Drastically Reduced Access Time
Relevant documents are accessed immediately
Strengthened Quality & Compliance
Employees at different locations consistently access the same knowledge pool
Typical Use Cases & Industries
How different industries use RAG pipelines
Knowledge Management in Law Firms
Search through large case files & legal databases – precise answers based on your own legal documents
Medical Research
Access to publications, studies, patient data – GDPR-compliant and with complete data sovereignty
Agencies & Marketing
Integrate campaign knowledge, trend data, customer specifics into your AI solution – for personalized insights
Industry & Manufacturing
Protocol data, maintenance reports, IoT logs as knowledge base – fast error analysis and optimization
Why We Are Your Partner
Expertise
Years of experience in building AI infrastructure, RAG solutions, and data pipelines
Tailored
No one-size-fits-all solution – your use case is at the center
Data Sovereignty
On-premises or hybrid operation guarantees you full control over your data
Comprehensive
We accompany you from strategy through technology to operations – everything from one source
Frequently Asked Questions
Ready for Your RAG Pipeline?
Let's turn your data into a strategic asset together
Let's Talk About Your Idea
Whether a specific IT challenge or just an idea – we look forward to the exchange. In a brief conversation, we'll evaluate together if and how your project fits with WZ-IT.
Trusted by leading companies
Timo Wevelsiep & Robin Zins
CEOs of WZ-IT