本文聚焦Windows平台本地运行的最佳RAG(检索增强生成)系统,支持Ollama。用户受限于显存,但出于隐私保护需求,希望在自己电脑上部署高效RAG方案。作者尝试了MaxKB、Openwebui和Cherry Studio,配合嵌入模型如gte-qwen2-7b-instruct和Qwen3-Embedding-4B,但效果一般。文章邀请社区分享对比经验,帮助用户优化本地AI部署。这对关注本地化大模型应用、隐私保护和前沿技术迭代的读者具有实用价值,尤其适合在受限环境下探索AI解决方案。
原文链接:Linux.do






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