LlamaIndex发布Extract v2.5文档提取智能体
LlamaIndex新发布的Extract v2.5文档提取智能体，性能超越GPT-6 Sol且更便宜，特别适合处理复杂文档提取任务。
LlamaIndex推出Extract v2.5系列智能体，专为文档提取优化。该系列包含三种模型(cost-effective、agentic、agentic plus)，在价值准确性和基础性方面表现优异。相比Opus 5.5和GPT-6 Sol，Extract v2.5性能更优且价格低30%-4倍。在复杂任务上，长列表提取准确率从86.1%提升至95.5%，跨页记录从85.5%提升至96.5，扫描表单从90.9%提升至95.7%。
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 💬 23 🔄 16 ❤️ 128 👀 8929 📊 60 ⚡
