Garduño Alvarado, Tzolkin; Wolf, Gunnar; Soulier, Eddie; Rousseaux, Francis y Sagols Troncoso, Feliú
(2025):
A retrieval-augmented-generation pipeline to help users query system-provided documentation.
In: DebConf 25, 14-21 Jul 2025, Brest, Francia.
Resumen
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.
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