One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

With vector search now available in Enterprise Server and Community Edition, enterprises can streamline AI development and reduce operational overhead by avoiding fragmented stacks and external search ...

Vector databases (DBs), once specialist research instruments, have become widely used infrastructure in just a few years. They power today's semantic search, recommendation engines, anti-fraud ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Oracle announced a suite of agentic AI capabilities integrated directly into Oracle AI ...

Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...

That is becoming harder as Anthropic, OpenAI, and GitHub shift some services away from flat-rate subscriptions toward ...

Jean Joseph, a data & AI engineer with deep expertise in database development, will explain how to build AI-powered applications with Azure Database for PosgreSQL at at upcoming developer conference.

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 ...

Microsoft used Ignite 2025 to push Azure Cosmos DB further into AI search and agentic workflows, highlighting new capabilities aimed at developers building retrieval-heavy applications and multi-agent ...