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RAG Without the Hype: Make Retrieval Observable, Testable, and Replaceable

This story is from 2026-08-31. It is preserved in the archive; the latest stories are on the live feed.

How my agent actually finds answers — and what happens when it doesn't Part 5 findings of an experiment: building an LLM-powered support agent with deterministic boundaries. The companion repo contains the full code. "What's your refund policy?" Something has to know the answer. The model doesn't.…

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  1. 2026-08-31 10:13 · DEV Community — AI
    RAG Without the Hype: Make Retrieval Observable, Testable, and Replaceable

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