Most enterprise RAG pipelines start the same way: a text parser converts web pages and documents into plain text so they can be chunked and indexed for retrieval. That conversion step destroys retrieval signals — and according to new research, it's responsible for the majority of wrong answers.

A research team from UC Berkeley, Princeton University, EPFL and Databricks published a paper this week introducing

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