📄 中文摘要
本文详细介绍了如何构建多模态RAG（检索增强生成）应用程序。文章重点讲解了多模态知识库的工作原理，以及如何根据不同的内容类型选择合适的处理策略。通过控制台操作和代码示例，指导读者如何配置和实现多模态检索功能。这一功能的引入使得亚马逊Bedrock知识库能够更好地处理和检索包含文本、图像等多种媒体类型的内容，从而提升了系统的信息处理能力和应用灵活性。文章为开发者提供了实用的技术指南，帮助他们更好地利用多模态检索技术构建先进的AI应用。
亚马逊 Bedrock 知识库引入多模态检索功能
出处: Introducing multimodal retrieval for Amazon Bedrock Knowledge Bases
发布: 2026年1月21日
📄 English Summary
Introducing multimodal retrieval for Amazon Bedrock Knowledge Bases
This article provides a comprehensive guide on building multimodal RAG (Retrieval-Augmented Generation) applications. It explains the working principles of multimodal knowledge bases and demonstrates how to select appropriate processing strategies based on different content types. Through both console operations and code examples, readers are guided through the configuration and implementation of multimodal retrieval capabilities. The introduction of this feature enables Amazon Bedrock Knowledge Bases to better handle and retrieve content containing various media types, including text and images, thereby enhancing the system's information processing capabilities and application flexibility. The article serves as a practical technical guide for developers, helping them leverage multimodal retrieval technology to build advanced AI applications.