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AIJanuary 22, 20261 min readNeuralix Labs

The case for visible reasoning in RAG

Most retrieval-augmented generation demos show you a question and an answer. What they hide is the part that actually matters: how the system got from one to the other.

That gap is fine for a demo. It’s a real problem the moment someone needs to act on the answer. If a support assistant cites a policy, someone should be able to check the exact source without re-doing the research themselves.

This is the idea behind Signal Graph, a framework we’re building for composing agents that keep their retrieval and reasoning steps visible and source-attributed, instead of collapsing them into a single confident-sounding paragraph.

It’s more work to build a system that shows its steps than one that hides them. We think it’s the difference between a tool people use once out of curiosity and one they actually rely on.

RAGAgentsSignal Graph