How Couchbase built a multi-model AI architecture for Capella iQ with Amazon Bedrock
AWS Machine Learning Tushar Madaan
Couchbase built a multi-model AI architecture for Capella iQ, its database developer assistant, using Amazon Bedrock to power inference with Anthropic's Claude models across multiple AWS regions. The system uses Kubernetes microservices with a VPC interface endpoint to route requests privately to Bedrock, with automatic cross-region failover between us-east-1, us-east-2, and us-west-2. Claude Sonnet 4.5 achieved 76 percent accuracy on internal benchmarks covering SQL generation, index recommendations, and multi-turn conversations, allowing Couchbase to treat model selection and upgrades as configuration changes rather than code modifications.
Why it matters
This post describes how Couchbase adopted Amazon Bedrock to power Capella iQ with Anthropic’s Claude family of models, the architectural decisions behind their multi-model approach, and the operational benefits realized in production.
