DecEx-RAG: A Paradigm Shift from Outcome to Process in Agentic RAG
Last Updated on January 5, 2026 by Editorial Team
Author(s): Florian June
Originally published on Towards AI.
Have you encountered Agentic RAG in your work or research?
Today we will look at the progress of Agentic RAG.
The article discusses the advancements in Agentic RAG and presents a new approach called DecEx-RAG, which involves a two-stage reasoning process that integrates decision-making and execution to enhance the efficiency of retrieval-augmented generation systems. It explores the challenges of traditional outcome-supervised methods, proposes improved strategies through dynamic pruning, and emphasizes the importance of a structured decision-making framework to optimize performance in various open-domain question-answering datasets.
Read the full blog for free on Medium.
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