Feb 23
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Building enterprise AI shouldn't mean moving your data into dozen of different silos. In this episode of AI Databasics, we introduce the Oracle AI Database 26ai—the next evolution of the core platform you already trust, now tuned for the AI revolution. Discover how to bring AI to your data with integrated Vector Search, RAG (Retrieval-Augmented Generation) in SQL, and In-Database AI Agents. We’ll show you how a converged architecture allows you to combine relational, JSON, and vector data in a single query to deliver faster, more secure AI insights. Video Chapters: 0:00 Introduction: The Data Side of the AI Revolution 0:30 The Problem: Why Siloed Databases Block AI Production 1:24 The Solution: Bringing AI to Your Data 2:08 Introducing Oracle AI Database 26ai & AI Lakehouse 3:17 Why 26ai is the Flagship Platform for AI Leaders 3:53 Converged Architecture: One Engine for All Data Types 4:35 Key Features: Vector Search, Graph, & JSON Duality 5:29 In-Database AI Agents & Onyx Integration 6:14 Connecting AI Tools with Model Context Protocol (MCP) 7:01 Simplifying RAG Pipelines with Pure SQL 7:50 Select AI: Natural Language to SQL Queries 8:37 Advanced Features: Data Domains & SQL Firewall 9:36 Upgrade Path: Moving from 19c and 23ai to 26ai 10:00 Case Study: High-Speed Decision Making with Sphere 11:03 Get Started: Free Tier, FastLabs & Python Workshops Want to try it yourself? Dive into the following FastLabs: https://livelabs.oracle.com/pls/apex/dbpm/r/livelabs/view-workshop?wid=4256 https://livelabs.oracle.com/pls/apex/dbpm/r/livelabs/view-workshop?wid=4257 https://livelabs.oracle.com/pls/apex/dbpm/r/livelabs/view-workshop?wid=4282 Find out more about AI Database: https://www.oracle.com/database/ #OracleAI #VectorSearch #GenerativeAI #26ai #RAG #AIDatabase #SQL #EnterpriseAI #ModelContextProtocol #AIDatabasics