How Couchbase built a multi-model AI stack for Capella iQ
AWS ML Blog · rss · 2026-07-21
AWS ML Blog explains how Couchbase built a multi-model AI architecture for Capella iQ on Amazon Bedrock.
Capella iQ is an AI assistant for database developers that generates SQL++ queries, recommends indexes, and supports multi-turn conversations. To support enterprise scale, Couchbase designed a provider-agnostic inference layer with multiple foundation model providers, private VPC connectivity, and cross-Region inference for failover and burst handling.
The post also details the production evaluation process: multiple Bedrock models were benchmarked on SQL++ generation, index recommendations, query explanations, iQ Insights, and multi-turn chat. Anthropic’s Claude Sonnet 4.5 reached about 76% accuracy on an internal BIRD-style evaluation and became the initial production model.
Key takeaways include:
- model selection as configuration, not code changes
- private, compliant inference traffic inside AWS
- resilience via automatic regional routing
- the operational value of provider abstraction
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