Video and image search in Amazon Bedrock Knowledge Base using Marengo 3.0
Amazon Bedrock now indexes video, images, and audio with semantic search — without building your own pipeline.
Why it matters
A managed embedding service for multimodal content lands in a major cloud platform, lowering the friction for teams building retrieval systems over media. Practitioners can now deploy semantic video/image search without custom infrastructure.
The key facts
9 to knowTwelveLabs Marengo Embed 3.0 now GA in Amazon Bedrock Knowledge Bases
Enables natural language search across video, image, and audio content
Fully managed service — no custom embedding pipelines required
Integrated into Bedrock's retrieval-augmented generation (RAG) workflow
Supports semantic queries against multimodal media at scale
Supports video, image, and audio content indexing
Fully managed semantic search across multimodal media
Published: September 10, 2026
AWS blog tutorial provided
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: 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…