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Your LLM Trace Is Green. Why Is the RAG Answer Still Wrong?

This story is from 2026-09-07. It is preserved in the archive; the latest stories are on the live feed.

TL;DR Many LLM observability setups capture prompts, outputs, tokens, and latency while leaving retrieval failures hidden. A single search call may conceal query rewriting, filtering, fetching, deduplication, reranking, and evidence selection. A useful trace connects the original question to the ef…

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  1. 2026-09-07 03:10 · DEV Community — AI
    Your LLM Trace Is Green. Why Is the RAG Answer Still Wrong?

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