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.
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.
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.
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.
ConceptsHow a Failed Demo Forced Us to Rethink Our Embedding Strategy
ATG’s lessons learned from our embedding solutions in production
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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.