Improve Your Media Discovery with Amazon Q Business and Amazon Transcribe | AWS Machine Learning Blog

The Demand for Audio and Video Content

In today’s digital landscape, the demand for audio and video content is skyrocketing. Organizations are increasingly using media to engage with their audiences in innovative ways. From product documentation in video format to podcasts replacing traditional blog posts, content creators are exploring diverse channels to reach a wider audience. The rise of virtual workplaces has also led to a surge in content captured through recorded meetings, calls, and voicemails. Additionally, contact centers generate a wealth of media content, including support calls, screen-share recordings, and post-call surveys.

Introducing Mediasearch Q Business

We are excited to introduce Mediasearch Q Business, an open-source solution powered by Amazon Q Business and Amazon Transcribe. Mediasearch Q Business supercharges the way you consume media files by using them as part of the knowledge base used by Amazon Q Business to generate reliable answers to user questions. The solution features an enhanced Amazon Q Business query application that allows users to play the relevant section of the original media files or YouTube videos directly from the search results page, providing a seamless and intuitive user experience. The solution is straightforward to install and try out, with two main components: the Mediasearch indexer and the Mediasearch finder.

Deploying the Solution Components

To deploy the Mediasearch Q Business solution, users need to follow specific steps outlined for deploying the indexer and the finder components using a CloudFormation stack. The process involves configuring an IAM Identity Center customer managed application that supports OAuth 2.0 for secure user authentication. The solution allows users to access and interact with the Amazon Q Business application efficiently.

Working of the Solution

The Mediasearch solution has an event-driven serverless computing architecture that includes steps such as ingesting media files into the index, transcription, and data source synchronization. The solution incurs usage costs from various AWS services and additional minor costs after free tier allowances have been exhausted. Users can customize transcription options and provide metadata for media files to enhance search results and access control.

Clean Up and Further Enhancements

After experimenting with the solution, users are advised to clean up resources by deleting the indexer and finder stacks using the AWS CloudFormation console. The combination of Amazon Q Business and Amazon Transcribe offers a scalable and cost-effective solution for surfacing insights from media files. The open-source nature of the project allows users to contribute back fixes and features through GitHub pull requests, enabling continuous improvement of the solution.

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