Introducing multimodal retrieval for Amazon Bedrock Knowledge Bases

This article announces general availability of multimodal retrieval for Amazon Bedrock Knowledge Bases, enabling RAG applications to search text, images, audio, and video content.

• Native support for video and audio alongside text and images in unified workflow
• Amazon Nova Multimodal Embeddings encodes all content types into single vector space
• Bedrock Data Automation converts multimedia to text descriptions and transcripts
• Cross-modal retrieval enables searching with images to find visually similar products
• Video and audio automatically segmented into 5-30 second chunks for embedding
• Timestamps provided for exact temporal location within source videos
• Nova best for visual-driven use cases; Data Automation best for speech-heavy content
• Console walkthrough demonstrates e-commerce product search example

Multimodal retrieval eliminates custom preprocessing complexity for enterprise RAG applications spanning multiple content types.