added s3-lambda-textract-bedrock-durable-cdk-ts pattern#2996
Open
marcojahn wants to merge 1 commit intoaws-samples:mainfrom
Open
added s3-lambda-textract-bedrock-durable-cdk-ts pattern#2996marcojahn wants to merge 1 commit intoaws-samples:mainfrom
marcojahn wants to merge 1 commit intoaws-samples:mainfrom
Conversation
This was referenced Mar 16, 2026
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
3 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Issue #, if available: #2997
Description of changes:
This pattern demonstrates a durable document processing pipeline. When a document is uploaded to Amazon S3, a durable AWS Lambda function extracts text using Amazon Textract's asynchronous API, summarizes the content with Amazon Bedrock (Amazon Nova Lite), and stores the results in Amazon DynamoDB. The durable function uses checkpointing and waitForCondition to reliably poll for the Textract job completion without wasting compute, and automatically resumes from the last checkpoint if interrupted.
I closed the old MR by accident, sorry for that
By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.