AI Infrastructure
RAG & Knowledge Systems grounded in your data, controls, and operating model
GMX TEC helps teams design the infrastructure layer behind retrieval-enabled AI systems, with practical attention to data movement, serving paths, observability, and governance.
Core Building Blocks
- Knowledge ingestion and data preparation pipelines for private content sources.
- Vector storage, retrieval services, and model-serving integration patterns.
- Operational controls around freshness, access boundaries, and result quality.
Typical Scenarios
- Internal knowledge assistants for technical or operational teams.
- Domain-specific retrieval services for regulated or proprietary datasets.
- AI initiatives that need more than a prototype and less than an overbuilt platform.
Shape a production-ready RAG foundation
We can help define the infrastructure, controls, and rollout path behind your retrieval and knowledge-system roadmap.
