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AI Database

7 articles · Page 1 of 1

Jul 21, 2026 · Databases

Managing Multimodal Data for Agents: OceanBase’s Multimodal Table Solution

The article analyzes OceanBase’s newly released lake‑house AI database, focusing on its multimodal table feature that unifies storage, transaction, governance and hybrid search for images, PDFs, vectors and other non‑structured data, addressing the data‑consistency and latency challenges of Agent‑driven applications.

AI DatabaseColumn Group ConsistencyHybrid Search

0 likes · 12 min read

Managing Multimodal Data for Agents: OceanBase’s Multimodal Table Solution

AI Programming Lab

Jul 3, 2026 · Databases

Why OceanBase’s AI Database Is More Than Just a Vector Store

The article analyzes how OceanBase’s new AI‑native database tackles the data‑layer challenges of autonomous agents by introducing logical tables, multi‑modal storage, Fork DB sandboxes and lake‑warehouse integration, arguing that the product’s value lies beyond simple vector retrieval.

AI DatabaseAgentConsistency

0 likes · 12 min read

Why OceanBase’s AI Database Is More Than Just a Vector Store

ITPUB

Jul 2, 2026 · Databases

Why OceanBase Built Lakebase: The Need for an AI‑Ready Lake‑Database

Lakebase, the core engine of OceanBase AI Database, unifies storage, management, computation and search for structured, unstructured and vector data, offering multimodal data capabilities, flexible deployment modes, and AI‑oriented use cases such as autonomous driving and financial document analytics.

AI ApplicationsAI DatabaseData Management

0 likes · 9 min read

Why OceanBase Built Lakebase: The Need for an AI‑Ready Lake‑Database

Old Zhang's AI Learning

Jul 1, 2026 · Databases

Why Enterprise AI Hits a Wall at the Data Layer Despite Powerful Large Models

The article argues that as AI agents replace human users, the real bottleneck for enterprise AI shifts from model performance to data infrastructure, and explains how OceanBase’s AI‑native database—Lakebase—addresses multimodal data, hybrid search, agent safety, and massive logical tables to enable production‑grade AI applications.

AI DatabaseAgent-friendlyData Infrastructure

0 likes · 16 min read

Why Enterprise AI Hits a Wall at the Data Layer Despite Powerful Large Models

DataFunTalk

Apr 1, 2026 · Industry Insights

How Oracle’s AI‑Powered Database Is Turning Data Sovereignty into a Competitive Edge

Oracle’s 2026 AI database rollout fuses vector search, private AI agents, unified memory, and deep data security directly into the database engine, challenging the cloud‑centric data‑movement paradigm and prompting a market shift that could revive Oracle’s dominance while reshaping strategies for DBAs, AI engineers, and decision makers.

AI DatabaseDatabase ArchitectureIndustry Trends

0 likes · 13 min read

How Oracle’s AI‑Powered Database Is Turning Data Sovereignty into a Competitive Edge

21CTO

Oct 15, 2025 · Databases

Oracle Launches AI Database 26ai with Built‑In Agent Factory and MCP Server

Oracle's new AI Database 26ai replaces the earlier 23c version, adding generative and agent‑based AI capabilities, built‑in Agent Factory, MCP server integration, advanced security features, and forming the foundation for an Autonomous AI Lakehouse, while offering seamless upgrades for existing customers.

AI DatabaseAgent FactoryMCP Server

0 likes · 5 min read

Oracle Launches AI Database 26ai with Built‑In Agent Factory and MCP Server

21CTO

Sep 7, 2024 · Artificial Intelligence

Why AI Databases Are the Next Big Leap for Vector Search and Multimodal Data

The article explains how AI databases combine structured, unstructured, and vector data, integrate machine‑learning, NLP, and generative models, and why platforms like Vespa are emerging as open‑source solutions to meet the performance and scalability demands of modern generative AI applications.

AI DatabaseMultimodal DataVector Database

0 likes · 8 min read