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AWS Shows How to Cut RAG Token Costs on Bedrock by Trimming Irrelevant Context

This story is from 2026-09-06. It is preserved in the archive; the latest stories are on the live feed.

AWS Machine Learning Blog detailed a technique for reducing the cost of retrieval-augmented generation (RAG) systems built on Amazon Bedrock. The approach, called query-aware compression, filters retrieved passages against the specific user query before they are sent to the underlying language mode…

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  1. 2026-09-06 22:24 · DEV Community — AI
    AWS Shows How to Cut RAG Token Costs on Bedrock by Trimming Irrelevant Context

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