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Best Embedding Models for German in 2026: BGE-M3, Qwen3-Embedding and E5 Compared
In a RAG system, the embedding model decides which passages reach the language model at all. If search does not find the right paragraph, even...
RAG Knowledge Base for Public Authorities: A Guide for the Public Sector
Public authorities manage large collections that have grown over years: decrees and circulars, procedural instructions, technical reports, expert opinions, statements, minutes. People looking for a...
RAG and the EU AI Act: when a RAG system is high-risk AI
Anyone planning a RAG knowledge base soon runs into the question of whether the system falls under the high-risk rules of the EU AI Act....
Extract and Validate Documents with AI: Self-Hosted Document Processing
Since 1 January 2025 every German company has to be able to receive e-invoices. Part of the incoming documents now arrive as structured XML and...
AI labelling obligations since August 2026: what Article 50 actually requires
Article 50 of the AI Act has applied since 2 August 2026. Coverage of it reduces to a single sentence: companies must label their chatbots...
vLLM, Ollama or llama.cpp: which inference server for business use
The question of the right inference server is almost always framed as a speed question and almost always answered wrongly, because one figure is missing:...
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