NarrateAI: production-ready LLM quality assurance on Amazon Bedrock
aws ·
This article details NarrateAI, a production-ready quality assurance system for Large Language Models built on Amazon Bedrock to support AWS executives in making data-driven decisions. The architecture employs five coordinated techniques to ensure high accuracy and low latency during real-time interactions. Adaptive Pipeline Orchestration routes queries through either a fast single-pass or complex multi-batch path based on data volume, reducing LLM invocations by 72 percent. Cross-Account Multi-Model Failover expands inference capacity by utilizing independent quotas across multiple models and AWS accounts, effectively eliminating user-visible throttling under peak load. Real-Time Streaming Evaluation validates each paragraph as it is generated using a producer-consumer pattern, cutting perceived evaluation latency by 86.8 percent compared to sequential methods. A Composite Evaluation Framework runs parallel checks for objective language, formatting, and numerical accuracy, catching co-occurring failures that single evaluators might miss. Finally, Data Accuracy Verification uses a two-stage cascade of exact matching and semantic analysis to prevent numerical hallucinations while maintaining computational efficiency. Together, these components deliver approximately 99 percent numerical accuracy with responses streaming within seconds.
aws