selfhosted workflows

Hands-on guide to building fast, private AI workflows on Linux: install core deps; run local LLMs via Ollama or compile llama.cpp; add a minimalist RAG with Chroma and sentence-transformers to query your PDFs; transcribe audio offline with whisper.cpp; lock down networking, pin versions, and automate via systemd—delivering data sovereignty, predictable cost, low latency, and reproducible setups.