Blog
Our guides and analyses on RAG and AI assistants in production.
Featured articles
GuideHow to generate qualified leads with a company website?
Starting a conversation quickly and making a strong first impression are essential to building a lasting relationship.
GuideContextual AI for your company: 6 concrete productivity gains
Discover 6 concrete productivity gains that contextual AI with RAG can bring to a company by structuring and sharing its knowledge more effectively.
AILLM On-Premises for Your Enterprise: What Can You Do with €60k?
Agents, RAG, internal assistants: how to choose between Make and Buy for your AI project. Figures, use cases, and cost analysis to help you decide.
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TutorialHow RAG Transforms Your AI into an Expert on Your Business
How RAG transforms your AI into an expert on your business. Discover how RAG technology enables AI to access your internal documents and answer your questions accurately.
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GuideEnterprise RAG: 5 mistakes that show up after the POC
Shipping an enterprise RAG is relatively easy. Making it a useful, stable product is a much bigger challenge. Here are the five most common production pitfalls—and how to get ahead of them.
GuideGetting AI automation right: use as little AI as possible
What is AI automation? Benefits, examples, tasks worth automating, and key steps to do it right while using as little AI as possible in production.
ProductYour databases are a gold mine, AI gives you the shovels
Juggling enterprise systems, getting a simple answer often takes twenty minutes (or a Teams ping to the “person who knows”). Your real data lives in structured databases: it’s often reliable, up to date… but also inaccessible. Most companies seem to overlook it, yet AI can query it in plain language and cross-reference documents and databases in seconds.
GuideHow MCP accelerates agentic AI
Discover how MCP enables AI agents to dynamically use tools without custom integrations. This article clarifies key concepts including function calling, skills, and MCP apps.
ConceptsHow a Failed Demo Forced Us to Rethink Our Embedding Strategy
ATG’s lessons learned from our embedding solutions in production
ConceptsOpen-Source in AI: The Big Misunderstanding
Open-source vs open-weight: why LLMs can't be truly open-source like Linux, and what you actually get when a model releases its weights.
Digital SovereigntyWhat if the United States Turned Off Your Digital Tap?
How dependence on U.S. infrastructure exposes Europe to growing strategic risks - and what to do to protect yourself.