AI Agent

AI agents on sensitive data: what PostgreSQL can enforce, and what it can’t

Every useful database content, document behind an internal AI agent names someone, a company, server names,… A relationship manager might ask “what did this client complain about last quarter?”, an operations engineer might ask “what happened on this server(…)

M-Files AI: from Intelligent Metadata to AI Agents

For years, the primary role of artificial intelligence in enterprise content management (ECM) has been to analyse documents. This involved extracting information, classifying documents, suggesting properties, and identifying similar content or patterns. To be honest, that was(…)

AI Isn’t Your Architect: Real-World Issues in a Vue project

In my previous article I generated a Rest NestJS API using AI. Today, I will create a small UI to authenticate users via the API. I will use this simple case to show the limits of coding with(…)

pgvector, a guide for DBA – Part3 AI agent and workflows

Introduction Nowadays, everyone in IT is well versed in using ChatGPT and other LLM-powered Chat to retrieve information like Google or try to learn something with it. The problem with those models is their accuracy. Current AI models only(…)