做合同、发票、邮件问答的工具党可以留意:答案直接附上源文档原句,出处可追溯,比传统 RAG 自己拼引用省事。输入 $0.01/百万 token、输出免费,批量跑文档成本几乎可以忽略,想搭文档问答流水线的朋友值得试一下。
#document question answering
5 stories · 1 in 7 days · 1 in 30 days
Stories, products and papers tagged "document question answering", newest first.
Nov 13
Chinese content新模型专攻文档引用问答,输入价格低至 $0.01/百万 token
Oct 12
KnowForge Multimodal Document QA System
The separation of search and reading tasks in KnowForge demonstrates a 1.9 F1 improvement over unified approaches, showing that specialized agents outperform generalist models in multimodal QA. Researchers and developers can access the system through the GitHub repository and three indexed benchmarks, making it a practical tool for document analysis tasks that require both information retrieval and comprehension.
Sep 15
How to build a 'grounded' document Q&A agent
This is a practical guide for developers building RAG applications, showing how to make AI answers verifiable and auditable.
Aug 7
Chinese contentNotion Q&A agents:在Slack回答重复问题并自动更新文档
Notion出了Q&A agents,在Slack里直接问,它从你的文档找答案,还会自动改旧信息,省得你一个人翻文档。
Jun 26