From Prototypes to Production
Advanced AI systems go far beyond prompt hacks and quick demos. Modular Retrieval-Augmented Generation (RAG) and Agent-based architectures are key patterns for building reliable, extensible, and context-aware AI applications.
Professional RAG and agent development means addressing:
- Modular context pipelines
- Multi-step reasoning and planning
- Tool orchestration and memory
- Testing, safety, and observability
The AOE AI Radar
Moving from a working prototype to a production-grade AI system requires architectural thinking and reusable design. Tooling, context strategies, and evaluation must become part of your delivery pipeline.
We have launched a dedicated spin-off of our Tech Radar to cover the fast-moving ecosystem around professional AI Agents, advanced RAG architectures, and LLMOps practices.
The AOE AI Radar guides you through the landscape of tools, frameworks, and models.
It is organized into:
- Patterns & Architectures – Design strategies for agents, RAG, tool usage, and memory
- Frameworks – Tools to build scalable, maintainable AI applications
- Models & Platforms – LLMs and vector platforms powering your systems
- Evaluation & Observability – Measure quality, safety, and performance
- Data & Storage – Handle sources, features, chunks, embeddings
- Other Tools – Workflow, low-code and cross-cutting utilities