LlamaIndex发布Extract v2.5文档提取智能体
LlamaIndex新发布的Extract v2.5智能体能处理跨页表格，准确率超96%，比Opus 5.5和GPT-6 Sol便宜30%-4倍。
LlamaIndex推出Extract v2.5系列智能体，专门处理文档提取任务。该智能体在跨页表格处理上准确率达96.5%，相比之前的85.5%有显著提升。在ExtractBench基准测试中，该智能体在多个价格点上都实现了最佳性价比表现。智能体在处理长列表记录时准确率从86.1%提升至95.5%，在扫描表单上从90.9%提升至95.7%。
Our new extraction agents are extremely good at reasoning over tables that span multiple pages sometimes a record starts on one page and finishes on the next. extremely common for real world docs (insurance claims, regulatory filings, legal schedules) - for instance you print Word / Google Doc to PDF our agents can piece these cells along with hundreds/thousands of other cells into clean, structured tabular output. come check it out: llamaindex.ai/blog/introduci… come sign up to llamaparse: cloud.llamaindex.ai Your browser does not support the video tag. 🔗 View on Twitter Jerry Liu @jerryjliu0 Today we’re introducing Extract v2.5 - a series of frontier agents tuned for document extraction. The agents (cost-effective, agentic, agentic plus) are tuned for value accuracy and grounding. Our extraction agents outperform Opus 5.5 and GPT-6 Sol while being 30%-4x cheaper. We’ve made massive improvements on complex extraction over * long lists (86.1% -> 95.5% on our agentic tier) * records spanning pages (85.5% -> 96.5%) * scanned forms (90.9% -> 95.7%) We’ve also launched the following features: ✅ Advanced citations: we locate bounding boxes for all supporting values for an inferred field, even if there's not an exact match. ✅ Structural Reasoning: we tailor document extraction algorithms depending on the type, layout, and information Our extraction agents are SOTA in price-performance on ExtractBench, across a wide range of cost points. We are the best tool for document extraction across documents of any complexity. Blog: llamaindex.ai/blog/introduci… All of these are available on LlamaParse: cloud.llamaindex.ai . Come check it out! Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 12 🔄 4 ❤️ 37 👀 4725 📊 16 ⚡
