---
格式版本: 2
标题: "Amazon Bedrock Managed Knowledge Base now supports automatic sync scheduling for data source connectors"
原文链接: "https://aws.amazon.com/about-aws/whats-new/2026/09/amazon-bedrock-managed-knowledge-base-automatic-sync-scheduling-data-source-connectors/"
发布日期: "2026-09-04"
发布时间校准状态: "found"
发布时间需复核: "否"
发布时间来源: "llm:local:original_script_field"
发布时间证据: "postDateTime: 2026-09-04T21:01:00Z"
发布时间校准原因: "候选日期来自原始脚本字段中的postDateTime，明确标注为文章发布时间，且未发现其他冲突证据。"
发布时间校准置信度: "1"
发布时间候选数量: 1
发布时间严格候选数量: 0
发布时间原页读取状态: "source template page reused from URL open"
发布时间未找到原因: ""
发布时间校准时间: "2026-09-06T14:00:41+08:00"
发布时间仲裁状态: "confirmed"
发布时间仲裁尝试次数: 1
发布时间仲裁耗时毫秒: 5192
发现时间: "2026-09-06T13:50:01+08:00"
入库时间: "2026-09-06T06:00:48.548Z"
来源平台: "固定入口"
搜索渠道: "fixed_url"
搜索词: "https://aws.amazon.com/new"
匹配关键词:
  - "AI"
相关厂家:
  - "AWS"
相关专家:
  []
内容类型: "网页"
抓取工具: "Free Fetch + Defuddle"
清洗工具: "Defuddle Markdown + Defuddle/Readability 正文提取"
原始附件:
  []
AI质检状态: "评分失败"
AI评分尝试次数: 2
AI评分错误类型: "service_error"
AI评分错误: "LLM call failed; tried model chain: zj-deepseek-v4-flash -> qwen3.8-flash | Model zj-deepseek-v4-flash failed after 1 total attempts: The socket connection was closed unexpectedly. For more information, pass `verbose: true` in the second argument to fetch()"
AI评分开始时间: "2026-09-06T06:55:07.603Z"
AI评分结束时间: "2026-09-06T06:55:23.076Z"
采集批次: "2026年9月6日13点46分35秒"
采集批次ID: "20260906-134635-04db2110"
去重键: "https://aws.amazon.com/about-aws/whats-new/2026/09/amazon-bedrock-managed-knowledge-base-automatic-sync-scheduling-data-source-connectors"
---

AWS announces automatic sync scheduling for Amazon Bedrock Managed Knowledge Base, a fully managed retrieval-augmented generation (RAG) service that handles data ingestion, storage optimization, and advanced retrieval without requiring you to manage vector databases or data pipelines. Previously, keeping your knowledge base current required manually triggering a sync each time your source data changed or building a custom solution. Now, you can configure daily, weekly, or monthly sync schedules for all native data source connectors, so your AI agents always retrieve the most up-to-date information.  
With automatic sync scheduling, you can match your sync frequency to how often your source content changes. For example, set a daily sync for a rapidly evolving customer support knowledge base in Confluence, a weekly sync for SharePoint policy documents that update periodically, or a monthly sync for reference materials stored in Amazon S3. This eliminates the need to build and maintain custom scheduling workarounds, reducing operational overhead while ensuring your retrieval-augmented generation applications stay grounded in current enterprise data.  
To learn more, see [Sync scheduling for data sources](https://docs.aws.amazon.com/bedrock/latest/userguide/kb-managed-sync.html#kb-managed-sync-schedule) in the Amazon Bedrock User Guide. For more information about Amazon Bedrock Managed Knowledge Base, visit the [Amazon Bedrock Knowledge Bases product page](https://aws.amazon.com/bedrock/knowledge-bases/).