[Feature Request] Bedrock Data Automation Support

## Describe the solution you'd like

[Bedrock Data Automation](https://docs.aws.amazon.com/bedrock/latest/userguide/bda.html) was recently released. Bedrock Data Automation (BDA) is a cloud-based service that simplifies the process of extracting valuable insights from unstructured content—such as documents, images, video, and audio. BDA leverages generative AI to automate the transformation of multi-modal data into structured formats, enabling developers to build applications and automate complex workflows with greater speed and accuracy.

## Why the solution needed

To support unstructured contents on RAG bot.

## Additional context

Under RFC-proposal on [generative-ai-cdk-construct](https://github.com/awslabs/generative-ai-cdk-constructs/issues/925).

## Implementation feasibility

Are you willing to collaborate with us to discuss the solution, decide on the approach, and assist with the implementation?

- [ ] Yes, I am able to implement the feature and create a pull request.
- [ ] No, I am unable to implement the feature, but I am open to discussing the solution.

Start with the AWS Bedrock Data Automation documentation and the linked generative-ai-cdk-construct RFC proposal. No repository files, tests, or entry points are identified, so the integration surface and acceptance criteria need to be defined through that discussion before implementation can begin. Done would mean an agreed approach for supporting unstructured content in the RAG bot.

Written by the indexing model from the issue text.