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Local LLMs need RAG for accurate technical answers

Developer benchmarked local models (Gemma, Qwen, Apple Intelligence) on 7,648 technical QA questions from popular documentation. Standalone models scored poorly; adding RAG with document retrieval dramatically improved accuracy. Thinking/reasoning added minimal gains but heavy compute cost.

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AI-generated summary (Heiko) · editorially responsible: J. Fuchs · How we use AI

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