Video and image search in Amazon Bedrock Knowledge Base using Marengo 3.0
TwelveLabs Marengo Embed 3.0 is now generally available as an embedding model in Amazon Bedrock Knowledge Bases, bringing fully managed natural language search to video, image, and audio content. This walkthrough shows how to build a knowledge base powered by Marengo 3.0 and run semantic queries against your media.
Amazon Bedrock Knowledge Bases now supports video and image search using the new Marengo Embed 3.0 embedding model. This breakthrough allows natural language queries to retrieve specific moments from hours of video footage. The technology works with MP4, MOV, JPEG, PNG, and audio files, connecting seamlessly with Amazon S3, SharePoint, and Confluence.
Marengo Embed 3.0 encodes video, audio, images, and text into a 512-dimensional vector space for efficient semantic search. With this feature, teams in media, sports analytics, education, security, and retail can easily locate specific moments using natural language. The system handles the entire process, from video ingestion to embedding and indexing, making it a fully managed experience.
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