Enterprise RAG Proof-of-Concept
AI only delivers value when it runs on your data — not on foreign servers. In 10 days, a working prototype of an internal knowledge AI (Retrieval-Augmented Generation) is built on Swiss infrastructure.
Focus Areas
Infrastructure Setup (Swiss Cloud) A sovereign environment (vector DB and LLM-API) is provisioned, compliant with the nFADP and internal policies.
Document Ingestion and Tuning A selection of your documents is connected, semantic retrieval optimised, hallucinations minimised, and source citations maximised.
User Validation and Roadmap The prototype is tested with real users, the calculation for the scaled rollout developed.
Key Data
- Duration: 10 days (fixed-price package).
- Deliverable: Executable prototype (Web UI), technical architecture document and security statement.
- Target Group: Law firms, medical institutes, authorities, and knowledge-intensive SMEs.
Methods
The methods behind this are documented in the Neuland Handbook:
- GenAI & RAG : Understanding the mechanism.
- Modern Databases : Why vectors are the key.