Cut Your RAG Costs on Amazon Bedrock with Smart Query Compression
Tired of watching input tokens drain your budget? Amazon Bedrock now lets you compress retrieved context using a smaller model to filter chunks before your main model responds, slashing costs while keeping answers sharp. This query-aware pattern is a game-changer for scaling RAG workloads without breaking the bank.
source: [aws/machine-learning-blog]