Why RAG Exists: The Context Problem
This story is from 2026-09-20. It is preserved in the archive; the latest stories are on the live feed.
A language model does not know your company handbook. It cannot. The weights are frozen at training time, so every query you ask today hits a snapshot of the public internet from months or years ago. Retrieval-Augmented Generation (RAG) is the architecture that bridges this gap. It gives the model…
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- 2026-09-20 16:54 · DEV Community — AI
Why RAG Exists: The Context Problem