返回全部动态
利用 Amazon Bedrock 自动生成过滤器提升合同搜索准确性
原标题：Improve contract search accuracy with auto-generated filters in Amazon Bedrock
AI 摘要
AWS 机器学习博客介绍了其 AI 驱动的注释（AIDA）解决方案，该方案基于 Amazon Bedrock 知识库，通过元数据增强的分块和隐式/显式过滤机制，提高合同搜索的准确性。AIDA 将非结构化合同转化为可搜索的智能数据，支持自然语言查询，并通过 RAG 架构和过滤机制确保检索结果的相关性和合规性。
以上摘要由 AI 生成，可能存在误差。事实请以原文为准。
正文节选
Improve contract search accuracy with auto-generated filters in Amazon Bedrock Enterprises rely on large volumes of complex legal agreements to make critical business decisions — determining rights, renewal options, geographic restrictions, and compliance obligations. In industries like entertainment and media, where organizations manage thousands of contracts across multiple jurisdictions, this work remains largely manual: time-consuming, costly, and difficult to scale. Our AI-Driven Annotation
发布时间：2026-08-19 01:02
抓取时间：2026-08-19 01:17
来源机构：AWS