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Orca’s Bedrock query agent cuts costs 90% and latency 75%

aws.amazon.com by Deniz Yilmaz 9 min read Editor score 8/10

Orca’s Discovery AI converts natural-language questions into Sonar queries across more than 900 cloud resource models; the post reports 90% lower query costs, 93% fewer input tokens, and 75% lower latency than its initial baseline. The case shows measurable trade-offs in building agents over structured data.

What

Discovery AI converts natural-language questions into Sonar queries for cloud-security data spanning more than 900 models.

How

The production system combines retrieval-augmented generation with schema-aware query construction on Amazon Bedrock.

Why it matters

Orca reports 90% lower query costs, 93% fewer input tokens and 75% lower latency than its initial baseline.

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