How RAG Actually Works. Building Reliable Enterprise AI with LangChain4j
The gap between the architecture diagram and the working system , documented from the inside.
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Latest Posts
RAG Is Not One Thing. A Practical Architecture Map for Reliable Enterprise AI Systems
RAG isn’t a single pattern, but a family of architectures. And choosing the wrong architecture isn’t a performance problem, but a design flaw.
Reliable Enterprise AI. What Enterprise Architects Must Understand About Transformers
Underneath all the layers of modern AI sits a single architectural breakthrough, the Transformer. Understanding it is not an academic curiosity; it's a requirement for designing reliable systems.
Reliable Enterprise AI. Why Architecture Matters More Than Prompts
In mission-critical environments, an AI that sounds confident but guesses is unacceptable. The difference between a fragile demo and a reliable system lies in engineering, not just clever prompting.
The Token Tax. Why Your AI Strategy is Leaking Cash and How to Fix It
2025 was the year of the realization that AI is incredibly expensive. We’ve been living in an era of mindless model consumption, but the revolution for sustainability has started.
AI in Education. Why K12 Platforms Require a Different Reliability Standard
AI in K12 needs different reliability standards than enterprise AI. This edtech perspective examines the unique risk profiles, pedagogical requirements, specific data protections for minors like GDPR and the EU AI Act, and the crucial human oversight needed in educational AI platforms.
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Raúl Ferrer
Software Architect studying Reliable Enterprise AI systems. I document RAG architecture patterns, retrieval failure modes, and EU AI Act compliance requirements for production environments. Author of iOS Architecture Patterns (Apress).
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