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A hybrid architecture combining RAG with fine-tuned Qwen models improved factual accuracy to 73% and tone to 75% in support chatbots. Fine-tuning alone reached 50% factual accuracy, while RAG alone hit 70%. The approach uses LoRA adapters to avoid catastrophic forgetting.
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