Reduce RAG costs on Amazon Bedrock with query-aware compression

Amazon Bedrock introduces a query-aware compression pattern for RAG: a smaller, lower-cost model filters retrieved chunks against the user's query before the primary model generates the answer, reducing input tokens and costs while preserving answer quality.

From the source
After retrieval but before the final answer call, a smaller, lower-cost model on Amazon Bedrock filters retrieved chunks against the user’s query.
aws.amazon.com

Visit source ↗aws.amazon.com

Announced: 21 Aug 2026 16:59 UTC
Detected: 21 Aug 2026 17:24 UTC (+25m after)

Other stories

xAI · 29 AugGrok Bot now works with XCapability change

GitHub · 28 AugGitHub Copilot weekly releases — August 24Capability change

Amazon · 28 AugBatch write and discover records in Amazon SageMaker Feature StoreAPI release

Amazon · 28 AugHow Decathlon runs demand forecasting at scale with Chronos-2

Amazon · 28 AugSpreading the load: How Salesforce met Multi-AZ HA with SageMaker Inference Components

Capability change

Hugging Face · 28 AugThe Open ASR Leaderboard Adds Its First Global South LanguageCapability change