I want to experiment with different ml models and i understand , amazon bedrock platform allows to do so. for starters , i want to use dataset and then generate embeddings. i know, i can use a bedrock client and choose from model available and pass in my content to generate embeddings.

but is there an more automated way than this. say , i dump my content to a s3 bucket and simply point bedrock or open search service and it generates and stores it to an s3 or open search database?

bedrock = boto3.Session.client('bedrock-runtime)
bedrock.invoke_model(
   modelID = 'tbd', 
   body = ''
)