From RAG to Context - A 2025 year-end review of RAG

As 2025 draws to a close, the field of Retrieval-Augmented Generation (RAG) has undergone profound reflection, vigorous debate, and marked evolution. Far from fading into obsolescence as some bold predictions foresaw—amid lingering scepticism over its supposedly transient role—RAG has solidified its indispensability as a cornerstone of data infrastructure in the demanding arena of enterprise AI adoption.