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        <title>A retrieval-augmented-generation pipeline to help users query system-provided documentation</title>
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        <description>by Gunnar Wolf by Tzolkin GARDUNO ALVARADO At: DebConf25 https://debconf25.debconf.org/talks/80-a-retrieval-augmented-generation-pipeline-to-help-users-query-system-provided-documentation/ The increasing integration of AI into computing workflows demands a re-evaluation of traditional operating system design. In environments like Debian, users are often faced with a vast ecosystem of command-line tools, each accompanied by extensive manual pages (man pages) detailing usage, flags, and parameters. While comprehensive, these documents are frequently dense, verbose, and not well-suited for rapid onboarding or targeted queries. We propose a retrieval-augmented generation (RAG) pipeline to bridge this gap, enabling natural language interaction with system documentation. By combining tokenization, embedding, and dense retrieval with a language generation model, our system allows users to query tool usage in plain language and receive concise, contextually relevant responses. This approach streamlines tool discovery and comprehension, and represents a step toward more intelligent, user-aware operating systems. Room: Petit amphi Scheduled start: 2025-07-15 10:00:00+02:00</description>
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