教你用Qdrant EDGE和Google LiteRT搭一个完全离线的RAG系统，文档问答、个人助理全在本地跑，再也不用担心隐私和联网了。
Qdrant联合Kaivid Labs创始工程师Tarun演示如何构建完全离线的RAG系统，使用Qdrant EDGE进行轻量级设备端向量搜索，搭配Google LiteRT通过硬件加速运行语言模型，实现文档问答、个人助理和笔记搜索，无需任何云依赖。活动时间为7月7日，包含现场实操。
Next up on Vector Space Talks! We're joined by @TRJ_0751, Founding Engineer at Kaivid Labs and Qdra...
Next up on Vector Space Talks! We're joined by @TRJ_0751 , Founding Engineer at Kaivid Labs and Qdrant Star, and he's tackling a question worth asking: what if your AI assistant didn't need the cloud at all? Tarun will show you how to build a RAG pipeline that runs entirely on your device - document Q&A, personal assistant, search over your own notes - no internet, no server required. The stack? Qdrant EDGE for lightweight on-device vector search, paired with Google's LiteRT for running language models locally with hardware acceleration. Date: Tuesday, July 7 Register here: streamyard.com/watch/GDNR4Xtj… Time: 8:30 PM IST | 5:00 PM CEST | 8:00 AM PDT See you there! 💬 2 🔄 3 ❤️ 14 👀 520 📊 5 ⚡