How Couchbase built a multi-model AI architecture for Capella iQ with Amazon Bedrock
Couchbase didn't build its own models. It stacked Claude + Bedrock into production — here's the architecture that scaled.
Why it matters
Real-world case study of enterprise AI product architecture using managed LLM services. Demonstrates how companies are choosing multi-model strategies via cloud providers rather than training proprietary models, with operational lessons for scaling AI features in production.
The key facts
9 to knowCouchbase Capella iQ uses Anthropic Claude family models
Built on Amazon Bedrock managed service
Multi-model architecture approach
Production deployment with operational benefits outlined
Integration of third-party models via cloud platform rather than proprietary training
Couchbase Capella iQ launched with Amazon Bedrock integration
Multi-model architecture using Anthropic Claude family
Production deployment operational benefits realized
AWS managed inference service adoption by enterprise software vendor
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: 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.