Druva enables cyber, data, and operational resilience for thousands of enterprises, and is trusted by 60 of the Fortune 500. In this post, we show how Druva approached natural language querying (NLQ)—asking questions in English and getting tabular data as answers—using Amazon Bedrock, the challenges they faced, sample prompts, and key learnings.
Originally appeared here:
How Druva used Amazon Bedrock to address foundation model complexity when building Dru, Druva’s backup AI copilot