Building an AI Agent That Responds to Real-Time Events With AWS Bedrock, Kinesis, DynamoDB, and S3
SMRTR summary
Most recommendation systems run as batch jobs, leaving users with stale suggestions. This guide builds a real-time recommendation engine using Amazon Kinesis, Lambda, Bedrock, and DynamoDB — keeping the LLM reasoning layer fully off the hot path. Results are cached in DynamoDB and served in under 10ms, while Bedrock updates recommendations asynchronously in the background as user behavior changes.
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