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A hands-on guide to building a lightweight, privacy-first Retrieval-Augmented Generation pipeline on Linux using Bash, Python, Chroma, and sentence-transformers. Ingest and chunk docs (incl. PDFs), embed and index locally, retrieve top-k chunks, then answer with a local LLM via Ollama or a hosted API. Includes distro-specific setup, runnable ingest/query scripts, real-world use cases, tweaks, and troubleshooting to turn your docs into a private Q&A.