Zilliz, a leading AI data infrastructure company and the creator of Milvus, recently announced Loon, the new storage engine that powers Zilliz Vector Lakebase and ships in Milvus 3.0. Loon is the lake ...
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 ...
After announcing support for Cosmos DB inside the Microsoft Fabric data platform at Build 2025, Microsoft recently opened a public preview of the new service. This release gives Cosmos DB a new role ...
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 ...
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 ...
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 ...
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.
MongoDB stands out as a compelling cloud infrastructure play, benefiting from cloud database migration and AI-native application adoption. Atlas, MDB's managed cloud platform, now drives 72% of ...
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 ...
Tech leaders are under pressure to satisfy growing demand for AI while keeping a lid on costs. That is becoming harder as ...
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