RAG 2.0 Meets AI-Ready Data: Databases Go Vector-Native

As generative AI becomes enterprise reality, a quiet revolution is unfolding beneath it: your database just got AI-native. In this episode, we explore how the biggest names in data—Oracle, PostgreSQL, and MongoDB—are embedding vector search directly into their engines, collapsing the gap between your data and AI.💡 Key Takeaways:✅ Why “vector-native” databases are a game-changer for AI infrastructure✅ How RAG 2.0 techniques reduce hallucinations and improve factuality✅ The platforms leading this shift: Oracle 23ai, pgvector for PostgreSQL, and MongoDB 8.2✅ Security, governance, and performance benefits of in-database retrieval✅ A 30–60 day action plan to go from AI pilot to productionWhether you're a CTO, data architect, or AI builder, this episode unpacks how the infrastructure you already trust can become the launchpad for grounded, governed, and production-ready generative AI.

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