LlamaParse 推出细粒度边界框,实现文档逐词溯源

As frontier models (e.g. Fable 5) continue to push the task horizon of knowledge work automation, it...

精选理由

做文档解析、合规审计或金融分析的团队终于有了可验证的溯源方案——LlamaParse 的逐词边界框让 AI 提取的每个数字都能精确定位到原文,审计流程不再靠‘大概在这页’糊弄,建议直接试用。

AI 摘要

LlamaIndex 在 LlamaParse 中推出了细粒度边界框功能,能够为文档中的每个单词、行和表格单元格提供精确的视觉坐标。这使得 AI 代理在提取信息时,可以追溯到文档中的具体位置,而不仅仅是段落或页面。该功能专为审计、合规审查和需要验证的 AI 工作流设计,解决了知识工作自动化中决策可审计性的关键痛点。用户现在可以在 cloud.llamaindex.ai 上体验。

原文 · Jerry Liu

As frontier models (e.g. Fable 5) continue to push the task horizon of knowledge work automation, it...

As frontier models (e.g. Fable 5) continue to push the task horizon of knowledge work automation, it becomes ever more important for humans to be able to audit decisions back to the source context. It is extremely easy for agents to cite an entire document or document page, but much harder for them to trace back to the exact numbers/words/figures within a page. Today we've launched granular bounding boxes within LlamaParse, which allows you to obtain visual citations of every single word in the document. This allows human users to audit exact words and figures - not just general document regions or entire pages! Come check it out: cloud.llamaindex.ai/?utm_source=xj… Your browser does not support the video tag. 🔗 View on Twitter LlamaIndex 🦙 @llama_index Parsing a document accurately is one thing. Proving where every value came from is another. When a compliance team reviews an AI extraction, or an auditor needs to sign off on a figure pulled from a financial filing, "it came from this document" isn't enough. They need to see exactly where. The specific cell in the table, the exact line on the page, the precise word the agent used. Most parsers can get you to a paragraph or a table block. That's where the trail ends. Today we're shipping Granular Bounding Boxes in LlamaParse — word, line, and cell level coordinates for every value in your document. The result is a complete, verifiable trail from every extracted value back to its exact source in the document. Built for audit workflows, compliance review, and any pipeline where verification isn't optional. Read the full announcement → llamaindex.ai/blog/announcin… Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 0 🔄 1 ❤️ 1 👀 563 📊 1 ⚡

LlamaParse 推出细粒度边界框,实现文档逐词溯源 · AI 热点