AI can do impressive things, but it cannot compensate for missing structure. In RAG, agentic coding, and AI music workflows, input quality still determines output quality....
Read more
This article explains in a structured and practical way how to build a local, auditable knowledge pipeline for LLMs: Markdown → Chunking → Embeddings → SQLite → Retrieval → Prompt → llama-server. A minimalistic, reproducible, cloud-free, blackbox-free RAG implementation....
Read more
Ollama is convenient, but abstracts a lot of details. This article shows step by step how to control the entire LLM supply chain yourself - from your own llama.cpp build to transparent GGUF models to the lean local API....
Read more
Local AI was just an experiment in the first article. Now she gets a real task: The automatic breakdown of complex customer tickets into individual, editable tasks – without data leaving your own infrastructure....
Read more
A Practical Attempt to Run a Large Language Model Independent of Cloud Services – with Ollama as an open runtime environment and mixed feelings between technical fascination and physical reality....
Read more