With Amazon Bedrock Knowledge Bases, you can give foundation models (FMs) and agents contextual information from your organization’s private data sources to deliver more relevant, accurate, and customized responses. As the data grows, maintaining real-time synchronization between Amazon Simple Storage Service (Amazon S3) and your knowledge bases becomes critical for accurate, up-to-date responses.In this post, we explore how Deloitte used Amazon EKS and vCluster to transform their testing infrastructure.
In this post, we explore an automated solution that detects S3 events and triggers ingestion jobs while respecting service quotas and providing comprehensive monitoring. This serverless solution uses an event-driven architecture to keep your knowledge base current without overwhelming the Amazon Bedrock APIs.
The challenge
Knowledge bases in Amazon Bedrock require manual synchronization whenever documents are added, modified, or deleted in S3…
