Claude Haiku

AWS published a reference architecture showing how to combine structured data extraction with Bedrock AgentCore, dual Claude models, and Amazon Quick to answer portfolio-wide questions that standard RAG systems get wrong. The design uses Claude Sonnet 4.6 for extraction and Claude Haiku 4.5 for independent verification, with Amazon Textract as a deterministic tiebreaker.

Amazon Web Services released a model distillation pipeline on Amazon Bedrock that transfers video search routing intelligence from Nova Premier to Nova Micro. According to AWS, the approach reduces inference cost by over 95% and latency by 50% compared to using Claude Haiku for intent routing.