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Insights, tutorials and best practices from the world of Cloud, DevOps and Open Source
Onyx Self-Hosted: Installation, Licensing and Comparison with Open WebUI
Onyx is an open source platform that pulls company knowledge from many applications into a shared search index and generates AI answers with source citations...
#Danswer#RAG#EnterpriseSearchRead more
XWiki AI Setup: LLM Application with a Local Model and RAG
XWiki ships without AI. Anyone who wants a chat with source references, writing assistance in the editor or semantic search across their own pages installs...
#LLM#RAG#OllamaRead more
European LLM APIs Compared: Mistral, STACKIT, IONOS, Mittwald, T-Systems
Anyone who wants to add a language model to a RAG application or an internal assistant without calling OpenAI or Anthropic directly ends up with...
#LLM#RAG#MistralRead more
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...
#Embeddings#BGEM3#Qwen3Read more
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...
#PublicSector#Government#AIRead more
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....
#AIAct#HighRiskAI#KnowledgeBaseRead more
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