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GUIDE · MODELS · #202

TwelveLabs' Marengo Embed 3.0 added to Amazon Bedrock Knowledge Bases for video, image and audio search

TwelveLabs' Marengo Embed 3.0 is now generally available as an embedding model in Amazon Bedrock Knowledge Bases, enabling fully managed natural-language semantic search over video, image and audio content. AWS Machine Learning published a walkthrough showing how to build a Bedrock knowledge base powered by Marengo 3.0 and run semantic queries against media.

KEY POINTS

  1. TwelveLabs' Marengo Embed 3.0 is now generally available as an embedding model in Amazon Bedrock Knowledge Bases, enabling fully managed natural-language semantic search over video, image and audio content.
  2. AWS Machine Learning published a walkthrough showing how to build a Bedrock knowledge base powered by Marengo 3.0 and run semantic queries against media.
  3. Integration brings a multimodal embedding model into a managed Bedrock knowledge-base workflow, lowering friction for developers and enterprises to add semantic search over media.

WHY IT MATTERS

Integration brings a multimodal embedding model into a managed Bedrock knowledge-base workflow, lowering friction for developers and enterprises to add semantic search over media.

SOURCES & TIMELINE

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AWS MACHINE LEARNING FIRST-PARTY
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.

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