RAG Is Blind to Time — I Built a Temporal Layer to Fix It in Production

# RAG Systems Give Outdated Answers—And Most Companies Don't Even Know It AI systems that retrieve information from databases to answer questions often grab the *most similar* match rather than the *most current* one, which can confidently serve up information that's no longer true. A developer discovered this the hard way when an AI tutor gave a student misleading advice, then built a fix that adds a "time filter" to make systems aware of which facts have expired and which are still valid. If your company uses AI to answer questions based on your own documents and data, this matters: without this kind of update, you might be confidently giving customers or employees information that's subtly wrong.
Three weeks into testing, a learner told me my AI tutor gave her the wrong answer. Not obviously wrong — just outdated enough to mislead. That was the moment I realized something most RAG systems quietly ignore: they have no sense of time. My system retrieved the most similar document, not the most
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