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Build a private, Linux-native RAG system that turns your local docs into a searchable AI: ingest txt/md/pdf, chunk, embed with fastembed (BAAI/bge-small-en), index in FAISS, and query via a local Ollama LLM with cited sources. The guide covers apt/dnf/zypper setup, two minimal Python scripts, examples, tuning tips, cron automation, scaling to vector DBs, and troubleshooting.