Introducing multimodal retrieval for Amazon Bedrock Knowledge Bases

Amazon Bedrock Knowledge Bases now supports multimodal retrieval, enabling RAG applications to search and retrieve insights across text, images, audio, and video using unified, fully managed AI workflows.

Amazon has announced the general availability of multimodal retrieval for Amazon Bedrock Knowledge Bases, expanding native support beyond text and images to include audio and video content.

This capability allows organizations to build Retrieval Augmented Generation (RAG) applications that seamlessly search across multiple data formats using a single, managed workflow. Powered by Amazon Nova Multimodal Embeddings and Bedrock Data Automation, the solution preserves visual and audio context or delivers precise transcriptions based on use-case needs.

By eliminating complex custom pipelines, Bedrock Knowledge Bases makes it easier for enterprises to unlock insights from diverse data sources such as videos, recordings, images, and documents at scale.

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