Companies need powerful retrieval-augmented generation but cannot risk sending sensitive data to public cloud LLMs. This fully sovereign RAG architecture runs entirely on Exoscale SKS with private vector stores and encrypted embeddings.
The Challenge of Secure Knowledge Access
Business Challenge
Companies need powerful retrieval-augmented generation but cannot risk data leakage to public cloud providers or third-party LLMs.
How Agentic AI Helps
A fully sovereign RAG architecture runs entirely on Exoscale SKS, combining private vector stores, encrypted embeddings, and agentic query routing.
Detailed Automated Business Process
The system ingests internal documents into a secure vector database, routes complex queries through specialised agents for retrieval and synthesis, and returns answers with full provenance and audit logs — all without ever leaving sovereign infrastructure.
Potential Business Impact
Organisations gain enterprise-grade knowledge access with zero data residency risk, dramatically faster insights, and complete compliance with DSG, GDPR, and EU AI Act.
Key Takeaways
