用编码智能体迁移到 Amazon Bedrock Managed Knowledge Base
Migrate to Amazon Bedrock Managed Knowledge Base with your coding agent
AWS 把知识库迁移做成了给编码智能体用的 skill：只读盘点、生成 IaC 模板、切流前自动验证检索。正在用 Bedrock 自管知识库的团队可以少写一堆 CloudFormation，也比手动迁移多了检索质量校验这一步。
AWS 发布了 amazon-bedrock skill 中的迁移指南，用于把客户自管的 Amazon Bedrock 知识库迁移到 Managed Knowledge Base。
整个迁移流程由编码智能体（如 Claude Code、Kiro 等）执行：先用只读发现（read-only discovery）梳理现有知识库的配置，再生成迁移计划。随后智能体会在保留原有环境的同时创建新的知识库，或输出基础设施即代码（IaC）模板供团队复用。
切换（cutover）之前，智能体会对新知识库做检索验证，确认召回结果符合预期后才执行切换，降低迁移期间检索质量回退的风险。对企业用户来说，Managed Knowledge Base 由 AWS 托管运维，减少自管基础设施的负担；
这份指南把原本需要手写 CloudFormation/CDK 代码和人工比对检索结果的迁移工作，交给智能体自动化完成。
Migrate to Amazon Bedrock Managed Knowledge Base with your coding agent
The migration guide in the amazon-bedrock skill helps you migrate a customer-managed Amazon Bedrock knowledge base to a Managed Knowledge Base. Your coding agent plans the move with read-only discovery, creates the new knowledge base or an infrastructure-as-code template alongside the original, and validates retrieval before you cut over.
This report is categorized under AITOP's "Products" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Amazon Bedrock, AWS, RAG, 编码智能体.
Primary source verification: published directly by AWS Machine Learning Blog with first-party authority.