Building RAG systems over technical documentation
Technical teams sit on large document sets: manuals, SOPs, API specs, incident runbooks. Retrieval-augmented generation (RAG) lets a language model answer questions only with evidence drawn from those documents—reducing hallucinations compared with raw prompting.
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