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Archive

A chronological list of all published posts.

2026
8 posts
04-06
Hybrid Search Is Not One Thing
04-01
Naive RAG Fails When Documents Are Ranked Wrong
03-30
How RAG Actually Works. Building Reliable Enterprise AI with LangChain4j
03-26
RAG Is Not One Thing. A Practical Architecture Map for Reliable Enterprise AI Systems
03-18
Reliable Enterprise AI. What Enterprise Architects Must Understand About Transformers
03-11
Reliable Enterprise AI. Why Architecture Matters More Than Prompts
03-02
The Token Tax. Why Your AI Strategy is Leaking Cash and How to Fix It
01-05
What is Reliable Enterprise AI? The Complete Architecture Guide
2025
10 posts
12-06
AI in Education. Why K12 Platforms Require a Different Reliability Standard
11-05
Human-in-the-Loop Is Not a Feature, It's a Design Principle
09-23
The EU AI Act Is Already in Force. Is Your AI Team Ready?
08-20
Human Oversight in K12 AI. Why Educational Platforms Need a Different Standard
07-18
RAG Is Not a Feature, It's an Architecture Decision
07-10
AI Roadmap for Tech Leads. An 12-Month Learning Plan to Stay Relevant and Lead with Intelligence
06-11
The Unexpected AI Skills I Gained from a PhD in Analytical Chemistry
03-18
The EU AI Act High-Risk Classification. A Practical Guide for Engineering Teams
02-12
What I Got Wrong About RAG
01-06
Why Artificial Intelligence Is the Next Step to Improve My Tech Leadership
2024
13 posts
12-17
Deterministic vs Probabilistic AI. The Gap Enterprise Teams Need to Close
12-03
The EU AI Act for Enterprise Engineers. What You Actually Need to Know
11-05
Why Your RAG Pipeline Will Fail in Production (And How to Prevent It)
10-22
Observability in RAGs. What You Need to Measure Before Hitting the "Deploy" Button
09-10
Reliable Enterprise AI. The Problem Nobody Is Solving at Scale
08-13
How Vector Databases Are Changing Enterprise Search
07-25
The Real AI Revolution Isn’t Technical, It’s Strategic
07-09
RAG Explained. Why Context Is Everything in Enterprise AI
06-18
What Mobile Architecture Taught Me About Building AI Systems
05-12
LLMs Are Not Magic. A Developer's Reality Check
04-08
The Hidden Complexity Behind AI-Powered Products
03-14
The Questions I'm Asking Before Writing a Single Line of AI Code
01-15
Why Enterprise Software Engineers Should Take AI Seriously Now
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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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