Matt Kimball, vice president and principal analyst at Moor Insights and Strategy, told VentureBeat the data layer is where production constraints surface first.

Cyborg CEO Nicolas Dupont describes how vector databases concentrate sensitive enterprise data in a structurally unencrypted ...

Open-source platform with 30+ MCP tools lets AI agents autonomously create pipelines, query databases, search vector ...

Oracle announced a suite of agentic AI capabilities integrated directly into Oracle AI Database, enabling AI agents to securely access enterprise data where it already exists, rather than requiring ...

In some ways, Oracle Corp. is looking in a different direction.

Enterprise AI applications are consolidating proprietary business data into vector databases, creating a structural security vulnerability that many organizations haven't addressed. See Also: Gen AI ...

Model Context Protocol (MCP) is an open standard allowing AI agents to securely connect to external tools and data sources ...

Endee.io launches Endee, an open source vector database delivering fast, accurate, and cost-efficient AI and semantic search at scale. Endee rethinks vector DBs for high recall, low latency, and low ...

Oracle AI Database 26ai was built to provide value right from the start. This data platform enhances performance stability, enables in-database AI, and reduces operational costs without requiring ...

TL;DR: KIOXIA's open-source AiSAQ technology reduces DRAM needs by offloading vectorized AI data to SSDs, enabling scalable, low-latency Retrieval Augmented Generation (RAG) pipelines. Its integration ...

During the beta phrase, Dnotitia introduced MCP (Model Context Protocol)-based RAGOps and subsequently expanded the platform with AgentOps capabilities. The official release reflects real-world ...

KX, a global leader in real-time, time-series, and AI-driven analytics, today announced the general availability of KDB-X, a unified compute engine designed to bring real-time AI ...