
AI in 2026: RAG's Demise, Vector DBs Rise, and AI's "New" Old Tricks
The data landscape is rapidly evolving due to agentic AI, with traditional RAG (Retrieval-Augmented Generation) pipelines facing limitations akin to basic search functionalities. As we move into 2026, alternative approaches like contextual memory and enhanced RAG implementations, such as Snowflake's agentic document analytics, are emerging to address these shortcomings and improve data analysis. This shift highlights the increasing importance of data in the age of AI.















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