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Oracle AI Database 26ai: Relational Integrity, Vector Search, and AI-Ready Financial Workflows

DEV Community·Yurii Dobrytsia·19 days ago
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#ai#oracle#sql#vector#database#search
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Why this article This article was originally published on Medium. I am cross-posting it here for the developer and data engineering community, with the canonical link pointing to the original version. The Core Question The most interesting part of Oracle AI Database 26ai is not that it can run ordinary relational workloads. That part is expected. The more important question is how an established enterprise database changes when AI workloads become part of the same data layer. In many AI projects, teams separate operational data, vector search, document storage, model calls, and analytics into different systems. That can work, but it introduces integration cost: duplicated data, inconsistent access control, extra synchronization, and more places where governance can fail. Oracle's 26ai direction is different. The database is positioned as a place where structured business data and AI-oriented retrieval can live together.…

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