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Weaviate联合Gemini多模态嵌入实现视频直接搜索

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视频搜索不用转文字了

Weaviate推出新方法,使用Gemini embedding 2 multimodal直接对视频片段进行嵌入。无需转录文本或元数据,将原始视频分割成重叠片段后即可存入Weaviate。用户提问后系统直接从视频中定位相关片段并生成回答。该方法简化了视频搜索流程,消除了预处理步骤。相关notebook和完整指南已在GitHub和Weaviate博客发布。

原文 · Weaviate

Stop treating video like text. You don’t need transcripts. You don’t need metadata. You can now embed the videos directly for search. The pipeline goes very simple: → Split raw video into overlapping clips → Embed with Gemini embedding 2 multimodal → Store in Weaviate → Retrieve the exact moments that matter → Generate answers grounded in real video No preprocessing hacks. You ask a question, it just finds the right moments and answers from them. Notebook link: github.com/weaviate/recip… Full multimodal guide: weaviate.io/blog/multimoda… 💬 2 🔄 3 ❤️ 13 👀 504 📊 5 ⚡