Making the empty vector store speak: with Flowise you build a chatbot that knows your documents by drag-and-drop — Qdrant as the store, a model in front. Including docker-compose, costs, and the road online.
Read more →Windows, Mac or Linux — what do you actually need for AI? Spoiler: usually nothing new. And there's one annoyance I have to get off my chest.
Read more →Taking the vector store into your own hands: start Qdrant with one Docker command, embed documents, search them. Which AI you need for it — and why an embedding costs almost nothing.
Read more →„You wanted to buy one beer, you got two." When a prompt grows so long it contradicts itself, you've gone too far. When less is more.
Read more →How a vector store works, what RAG has to do with it, and how your AI gets a memory for your own documents — no coding required.
Read more →Eight AI models, one silly question: why is a PommDöner better than a Lahmacun? This is how you find out which model convinces — and which just waffles.
Read more →A blog about AI, written with AI, stopped by an AI-tool update. The story of a small mishap — and what it reveals about AI tools.
Read more →In OpenWebUI you can build your own models: your system prompt, your LLM, your knowledge base — a personal AI assistant that doesn't need re-explaining every single time.
Read more →Technically correct, practically useless — or dangerous. Two examples show why AI doesn't read between the lines when you leave something unsaid.
Read more →Four difficulty levels, 80 questions, zero fluff: our new AI quiz tests your knowledge honestly — and tells you exactly where you stand.
Read more →The scheduler ran, the article was good, the commit never arrived. An honest account of AI automation, sandboxing, and the difference between content and infrastructure.
Read more →A blog about AI, built with AI. Sounds like clickbait, but it's just true. Here's how it actually went.
Read more →AI can genuinely help with your resume — if you know how to ask. Step-by-step guide, what works well, and where the pitfalls are.
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