Openshift Consulting
Open Source Monitoring
Integration-Testing
How Does RAG Work?
1.
A user asks a question via chatbot
2.
The question is preprocessed (e.g., linguistically optimized)
3.
Relevant documents from your data sources are identified
4.
The question and relevant documents are passed to the LLM
5.
The LLM generates a precise answer based on the retrieved content
6.
The chatbot presents the answer – transparently and with sources, if requested
Secure Funding for Your AI Project – We’ll Show You How!
Many German states offer attractive grants for digitalization and AI initiatives – covering up to 50% of your implementation costs. We’ll help you identify the right funding program and make the most of it.
RAG – Frequently Asked Questions
RAG combines generative AI (LLM) with targeted access to your own data. This results in answers that are not only fluent and natural, but also grounded in your company’s internal knowledge.
Standard AI often delivers generic or uncertain answers. With RAG, the models tap into your internal knowledge base – delivering responses that are transparent, precise, and tailored to your business.
Data sovereignty comes first: your information stays within your infrastructure or in sovereign EU clouds. There’s no dependency on US hyperscalers – and no risk of data leaks.
Typical scenarios include knowledge management, chatbots for employees or customers, research and support tools, and the automation of decision-making processes.
In short: anywhere you want to make knowledge easily and efficiently accessible.
Yes. RAG is built to be modular and scalable. You can start with a single use case and gradually expand the solution – all the way to a company-wide AI ecosystem.
cRAiG – our smart RAG pipeline for your corporate knowledge
What is cRAiG?
cRAiG – our in-house development for secure RAG pipelines (ConSol Retrieval Augmented Intelligent Generation). cRAiG securely transfers your company knowledge into AI applications. It integrates seamlessly into existing systems, agent frameworks or front ends such as Open WebUI via an OpenAI-compatible API. Thanks to optional local deployment, your documents and data remain where they belong: with you.
Why cRAiG?
More than
200 customers
trust ConSol
for their
IT & Software
Because we love IT – and we know how to make AI projects succeed
- 40 years of IT expertise combined with cutting-edge AI know-how
- Extensive open source expertise for sovereign, vendor-independent solutions
- Cloud-Know-how cross all major platforms – including German and European providers
- Agile collaboration – closely aligned with your team
- Full-service delivery: consulting, implementation, and operations from a single source
Any Questions about RAG?
Contact
Jan Zahalka