Couchbase Implements Multi-Model AI Architecture Using Amazon Bedrock for Capella iQ

Couchbase has integrated Amazon Bedrock into its Capella iQ platform to create a flexible, multi-model AI inference architecture. This setup allows the platform to utilize various foundation models, including Anthropic’s Claude family, without requiring significant re-engineering. The architecture is hosted across two AWS regions, us-east-1 and us-west-2, ensuring high availability and resilience through automated cross-region inference routing. This design enables the platform to handle traffic spikes and regional failures seamlessly, maintaining consistent performance.

The system architecture involves microservices running on Amazon EKS, with private connectivity to Amazon Bedrock via VPC endpoints. Requests from developers are processed through a pipeline that assembles prompts, manages conversation context, and routes inference requests securely within AWS infrastructure. This setup ensures data residency compliance and security, as all data remains within the cloud environment.

Couchbase evaluated multiple models on a benchmark suite covering core workflows like SQL++ generation, index recommendations, and multi-turn conversations. Anthropic’s Claude Sonnet 4.5 was selected based on accuracy, latency, and consistency, meeting the platform’s production standards. The use of Amazon Bedrock simplifies infrastructure management, allowing rapid adoption of newer models and reducing operational complexity.

Looking ahead, Couchbase plans to optimize costs by deploying smaller, task-specific models via Amazon Bedrock’s Custom Model Import feature. This approach aims to balance performance and expense, enabling continuous model evolution without disrupting the developer experience. Overall, this implementation exemplifies how enterprise AI platforms can leverage cloud-native, multi-model architectures for scalable, resilient, and secure AI services.