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: No more external vector silos. You can now store embeddings and run similarity searches directly alongside your relational data using standard SQL.

Below is a draft post based on this theme, optimized for professional platforms like LinkedIn. 🚀 The Future of Data is AI-Native: Exploring Oracle 26ai : No more external vector silos

: Imagine mixing relational predicates, text search, and vector similarity in a single query. This is the new foundation for high-performance RAG (Retrieval-Augmented Generation) workloads. 🚀 The Future of Data is AI-Native: Exploring

We’re moving beyond "adding AI features" to a world where the database is the AI platform. Here is what’s changing the game: Here is what’s changing the game: : Transitioning

: Transitioning from 23ai to 26ai is designed to be a streamlined release update, allowing teams to scale their generative AI capabilities without rebuilding their architecture.

Is your database just a storage box, or is it an AI engine? With the shift toward , the boundary between data and intelligence has officially vanished.

The "30% AI Rule" is a great starting point for responsible use, but for developers, the real goal is 100% integration. Whether you are building with BoxLang or integrating AI into Xcode , the backend is now ready to support you.