Vector Databases are Dead, RAG Lives On: When Version Development Kills Outdated Innovation


Databases.

Picture by Caspar Camille Rubin on Unsplash

Disclosure: I utilize GPT search to collection facts. The whole post is drafted by me.

The AI change has brought us to a remarkable inflection factor. While every person’s talking about the most up to date language designs and their expanding abilities, we’re witnessing something similarly essential occurring in the infrastructure layer– a peaceful however significant change that’s reshaping exactly how we think about AI understanding systems.

Hierarchical tree representation illustrating an embedded site structure with moms and dad and youngster nodes standing for groups and subcategories

The Three Columns of AI Application Architecture

The existing AI application landscape has taken shape into 3 distinct classifications, each offering various organizational demands and technical needs:

Operations AI stands for the initial column, dominated by representative platforms like Coze and Dify, alongside AI-powered spread sheets and multi-dimensional table suites. These systems focus directly on enterprise-level price decrease and effectiveness enhancements, automating operations that formerly called for significant …

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