eventbridge-pipes-bedrock-enrichment-cdk: AI enrichment via EventBridge Pipes#3230
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First pattern combining Amazon EventBridge Pipes with Amazon Bedrock. Messages from Amazon SQS are enriched in-flight by AWS Lambda calling Amazon Bedrock (Claude Sonnet 4.6) for sentiment classification, entity extraction, and summarization before writing to Amazon DynamoDB. 5 services composed. 48+ Pipes patterns exist in repo — none use AI/ML enrichment. Novel composition with real use cases: customer feedback analysis, ticket classification, log enrichment.
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Description
Enrich messages in-flight with AI classification and entity extraction using Amazon EventBridge Pipes and Amazon Bedrock.
Key Innovation
48+ EventBridge Pipes patterns exist in this repo — none use AI/ML enrichment. This is the first pattern combining Pipes with Amazon Bedrock, enabling real-time AI processing in any event pipeline without changing source or target configurations.
Architecture
Amazon SQS → Amazon EventBridge Pipe (enrichment: AWS Lambda → Amazon Bedrock Claude Sonnet 4.6) → Amazon DynamoDB
The enrichment step classifies sentiment (POSITIVE/NEGATIVE/NEUTRAL/MIXED), extracts named entities, and generates a one-line summary — all in-flight before the message reaches the target.
Use Cases