AWS has announced the general availability of TwelveLabs Marengo Embed 3.0 as an embedding model in Amazon Bedrock Knowledge Bases. This integration provides fully managed natural language search capabilities for video, image, and audio content.
Key Points
- TwelveLabs Marengo Embed 3.0 is now generally available.
- It functions as an embedding model within Amazon Bedrock Knowledge Bases.
- The model enables natural language search for video, image, and audio content.
- The offering provides fully managed search capabilities.
Context
According to the AWS Machine Learning Blog, a walkthrough is available that demonstrates how to construct a knowledge base utilizing Marengo 3.0 and execute semantic queries against various media types.
Why It Matters
This release expands the types of data that can be semantically searched within Amazon Bedrock Knowledge Bases, allowing builders to integrate multimedia content into their retrieval-augmented generation (RAG) applications.
What To Do
- Review the AWS Machine Learning Blog for the walkthrough on building a knowledge base with Marengo 3.0.
- Test semantic queries against video, image, and audio content using the new integration.
- Note the implications for RAG applications that require multimedia search capabilities.