RAG (Retrieval Augmented Generation) for knowledge-based AI systems
RAG combines the power of modern language models with precise data access. This technology makes it possible to build AI systems that not only generate answers but draw on current, verified knowledge while doing so. The result is applications that communicate clearly and stay grounded in facts.
Connecting knowledge and language understanding
In the RAG approach, information is retrieved from internal or external data sources and built directly into the AI’s answer. This creates a system that relies on sound content rather than only on trained probabilities. The results are traceable and verifiable.
Custom knowledge integration
We build RAG systems tailored to your data. Whether company documents, databases, or external sources, the AI can access exactly the knowledge that is relevant to your application. It stays up to date and delivers precise answers in the right context.
Transparency and control
Our solutions offer full traceability of the information used. Every answer can be traced back to its sources. This keeps you in control of the content, quality, and security of the results delivered.
Your benefits
- Fact-based answers through access to verified data sources
- Custom integration of company-specific knowledge
- High transparency and traceability of results
- A combination of generative AI and a reliable knowledge base