LlamaIndex 为 LlamaParse Extract 新增逐字段 Grounded Confidence 置信度评分
with jev, everyone is understanding the importance of calibrated confidence scores for discrete deci...
LlamaParse 抽文档每个字段都带置信度分数了，低分转人工、高分自动过，批量审核省人力。
LlamaIndex 在 LlamaParse 的 Extract 功能中加入 Grounded Confidence，按字段返回抽取结果的置信度评分。评分覆盖 bool、int、float 等基础类型（数值无需限定范围）和自由文本抽取，每个抽取值还附带指回原文位置的 bounding box。开发者可以设置阈值，让高置信度结果自动通过，低置信度结果转给人工审核。该功能已在 Cost Effective、Agentic 和 Agentic Plus 三档方案上提供，文档见 developers.llamaindex.ai。
with jev, everyone is understanding the importance of calibrated confidence scores for discrete deci...
with jev, everyone is understanding the importance of calibrated confidence scores for discrete decision making we've taken that approach one-step further and created grounded confidence scores for general schema-guided document extraction: ✅ this includes primitive types like bool, int, and float. the numbers don't have to be bounded ✅ this also includes free-form text extraction ✅ each extracted value also carries a bounding box directly back into the source document calibrated confidence scores are extremely important for human review. By setting a threshold, you can let a human reviewer audit the lower confidence values while automating the extraction of higher confidence values. If you have needs for large scale doc extraction, come check it out: developers.llamaindex.ai/llamaparse/ext… Sign up to LlamaParse here: cloud.llamaindex.ai Your browser does not support the video tag. 🔗 View on Twitter LlamaIndex 🦙 @llama_index Grounded Confidence is here for Extract! 🦙 When your agents and workflows depend on extracted data, you need to know how accurate that data is. We’ve added confidence scores to give you a better read on extraction accuracy, field by field. Use them to decide which results your app can accept automatically and which need human review. Available on Cost Effective, Agentic, and Agentic Plus. Try it out on your docs -> developers.llamaindex.ai/llamaparse/ext… t Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 0 🔄 0 ❤️ 1 👀 350 📊 1 ⚡
