AWS ML Blog

How Ring scales global customer support with Amazon Bedrock Knowledge Bases

1 min read
#bedrock#deployment#compute
Level:Intermediate
For:AI Product Managers, Data Scientists, ML Engineers
TL;DR

Ring, a global company, has successfully scaled its customer support using Amazon Bedrock Knowledge Bases, implementing metadata-driven filtering for region-specific content and separating content management into distinct workflows. This approach has enabled Ring to achieve cost savings while expanding its support capabilities, demonstrating the effectiveness of Bedrock in managing large-scale knowledge bases.

⚡ Key Takeaways

  • Ring implemented metadata-driven filtering to provide region-specific content to customers, enhancing their support experience.
  • The company separated content management into ingestion, evaluation, and promotion workflows, streamlining its knowledge base management.
  • By leveraging Amazon Bedrock, Ring achieved cost savings while scaling up its customer support operations.

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