Jerry Liu 开源 DocJev:文档分类与拆分速度比 gpt-5.6-luna 快 6 倍
DocJev is the fastest way to classify and split complex document packets ⚡️. (and the default is ful...
LlamaIndex 的 Jerry Liu 开源了 DocJev,扔几条自然语言规则就能给文档分类和拆分,速度还比 gpt-5.6-luna 快 6 倍,免费可用。
LlamaIndex 创始人 Jerry Liu 发布开源库 DocJev,用于复杂文档包的分类与子文档边界拆分。用户只需提供自然语言类别规则,jev 即可预测文档类别或拆分边界,官方称速度比 gpt-5.6-luna 快 6 倍且准确率相当。OCR 后端可选免费的 liteparse(适合数字化文档)或基于 VLM 的 LlamaParse(适合复杂文档)。默认版本完全免费且开源,代码已上传 GitHub。
DocJev is the fastest way to classify and split complex document packets ⚡️. (and the default is ful...
DocJev is the fastest way to classify and split complex document packets ⚡️. (and the default is fully free and OSS!) I made a sick teaser video below. TY Opus 5.5 🙏 check it out: github.com/jerryjliu/docj… I Your browser does not support the video tag. 🔗 View on Twitter Jerry Liu @jerryjliu0 Introducing DocJev - a lightning-fast OSS library for document classification and splitting with jev ⚡️ Give a document alongside some natural language category rules. Jev will predict the document category (classify) or the boundaries between sub-documents (split). It is 6x faster than gpt-5.6-luna with equivalent accuracy. You can choose between different OCR backends: liteparse: the fastest/most accurate free+OSS text parser out there. Perfect for digitalized documents. The speedups vs. luna above are inclusive of liteparse times. LlamaParse: the most advanced VLM-based solution for complex docs. Using this will of course add latency on document preprocessing. But it’s a good option if you want to cache the digitalized representations of documents for a variety of downstream tasks. Check it out: github.com/jerryjliu/docj… If you want to dive deeper into liteparse or LlamaParse check the links below: liteparse: github.com/run-llama/lite… LlamaParse: cloud.llamaindex.ai Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 4 🔄 4 ❤️ 45 👀 2978 📊 14 ⚡
- shao__meng09-20 23:54原文