Amazon Bedrock Managed Knowledge Base now supports multimodal embeddings for video, audio, and image content with TwelveLabs Marengo 3.0

Amazon Bedrock Managed Knowledge Base

AWS announces the availability of TwelveLabs Marengo 3.0 as an embedding model in Amazon Bedrock Managed Knowledge Base, enabling customers to create multimodal embeddings for video, audio, and image content. Marengo 3.0 encodes visual scenes, speech, and video cues directly into multimodal embeddings, capturing meaning that transcription alone cannot.

What to do

• Upload your media assets from data sources such as Amazon S3.
• Sync and search using natural language.
• Utilize segment start and end times for precise retrieval.

Marengo 3.0 produces compact 512-dimensional vectors, delivering state-of-the-art retrieval accuracy. This unlocks use cases across sports analytics, media and entertainment, security, education, and retail.

• Item: Segment start and end times included in results.
• Item: Configurable segmentation options.

To learn more, see TwelveLabs Marengo 3.0 embedding model integration in the Amazon Bedrock Knowledge Base User Guide. For more information, visit the Amazon Bedrock Knowledge Bases product page.

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