Replacing RAG with bash cut cuts AI retrieval costs by 30%

Researchers proposed direct corpus interaction (DCI), a command-line style retrieval method that searches raw files and logs with tools like grep, find, and sed.

DCI skips embedding-based RAG pipelines, avoiding vector databases and semantic retrieval overhead.

Reports suggest it can cut AI retrieval costs by about 30%.

The approach may help agents find exact, up-to-date information more reliably in changing enterprise data.