RAG Consulting: From the Idea to a Production AI System
We guide you from picking the first use case through the architecture to running it in production. Vendor-neutral, on-premise-ready and GDPR-compliant, backed by our own RAG experience rather than a product to sell.
The starting point
There's a lot between a RAG prototype and production
A demo prototype is built quickly. The path to a system that reliably answers from your company knowledge is full of decisions.
Unclear starting point
Which use case is worth doing first and delivers measurable value? Without prioritisation, initiatives fizzle out.
Architecture questions
Chunking, retrieval, reranking, model choice and operating model all influence each other. Defaults aren't enough.
Data protection and control
Company data must not leak out uncontrolled. On-premise and GDPR have to be considered from the start.
From PoC to operations
Between a working demo and a stable production system lie evaluation, monitoring and scaling.
What we do
RAG consulting across the entire lifecycle
We support every step, from the first use case to day-to-day operations.
Potential analysis
We identify the use cases with the biggest leverage and prioritise them by value and feasibility.
Architecture
We design the right RAG architecture for your documents, your infrastructure and your operating model.
Proof of Concept
A first working prototype on your real data, evaluated quantitatively rather than just demonstrated.
Implementation
We build the production-ready system, vendor-neutral, on the stack that fits you.
Operations
Monitoring, evaluation and ongoing development in live operation, as Managed RAG if you want.
Enablement
In the RAG workshop we bring your team up to speed to develop RAG further on their own.
Why QUIKK
Vendor-neutral, because we've built RAG ourselves
We don't sell a product, we advise neutrally. Because we developed our own RAG architecture, we know the levers and recommend the stack that fits you, not the one we earn from.
- Our own RAG experience instead of a product to sell
- Platform-agnostic: Microsoft, open source or custom-built
- On-premise-ready and GDPR-compliant
- Quantitative evaluation instead of gut feeling
Industries
Where we deliver RAG
Insurance
Search claims files, policies and rulebooks with AI, BaFin-compliant.
Law firms
Make client files and contracts usable, with attorney-client privilege and BRAO in mind.
Real estate
Automate property documents, contracts and incoming mail.
Healthcare and care
Clinical knowledge and documentation, on-premise where it's mandatory.
Platform-agnostic
The stack that fits you
We're not tied to any one vendor. Depending on the requirements, we go with the Microsoft world, open-source stacks or a custom architecture.
- Microsoft: Copilot, Azure AI Search, Fabric
- Open source: Vespa.ai, Qdrant, pgvector
- Custom architecture for special requirements
- On-premise, your own cloud or hybrid
How it works
How we work together
Intro call
Free and with no obligation, we clarify the starting point, goals and feasibility.
Potential analysis and architecture
We prioritise use cases and design the right architecture.
PoC, implementation, operations
From an evaluated prototype to a production system, supported long-term if you want.
FAQ
Common questions about RAG consulting
What even is RAG?
Retrieval-Augmented Generation connects your company data with a language model, so the AI answers from your knowledge instead of hallucinating.
Are you tied to one vendor?
No. We advise vendor-neutrally and recommend the stack that fits your case, from Microsoft through open source to a custom solution.
Is on-premise possible?
Yes. On request, the entire solution runs on-premise or in your own cloud, without any data leaking to external providers.
How do we get started?
With a free intro call and a potential analysis. That's how we find the use case with the fastest return.
Do you also offer consulting only, without delivery?
Yes. We support you from pure strategy all the way to full delivery and operations, depending on what you need.
More on RAG
Where does your RAG project stand right now?
Book a free intro call. We'll give you an honest assessment, from the best starting point to a realistic roadmap.
Let’s talk about how AI can move your business forward.
Get in touch, we look forward to your project.