基于 Amazon Quick 与 Bedrock AgentCore 构建合同智能平台
原标题：Building an AI-powered contract intelligence platform with Amazon Quick and Amazon Bedrock AgentCore
AI 摘要
AWS 机器学习博客介绍了一套基于 Amazon Quick 和 Amazon Bedrock AgentCore 的合同智能平台架构。该方案指出传统 RAG 语义检索无法回答跨数百份合同的聚合类问题，因此改用结构化抽取思路：由 Claude Sonnet 抽取代理提取八个关键字段，Claude Haiku 验证代理独立复核，签名分歧时用 Amazon Textract 做确定性裁决，结果存入 Aurora PostgreSQL，再通过嵌入式仪表盘和自然语言聊天代理查询。整个流水线可在数秒内处理一份合同，并借助无服务器架构支持并行扩展。
正文节选
Building an AI-powered contract intelligence platform with Amazon Quick and Amazon Bedrock AgentCore You’re a director of contracting, responsible for hundreds, maybe thousands, of vendor contracts. Each one is packed with critical data: contract values, expiration dates, signing status, and key contacts. With that information locked inside PDFs, you and your team spend hours manually extracting it, maintaining spreadsheets, and fielding the same recurring questions: “Which vendor are we spendin