SANTA CLARA, Calif., Nov. 21, 2024 (GLOBE NEWSWIRE) -- Baffle, the easiest way to protect sensitive data, today announced that Baffle’s data protection platform now extends to pgvector on PostgreSQL, ...
Baffle, the easiest way to protect sensitive data, is debuting the extension of its data protection platform to pgvector on PostgreSQL. With this release, Baffle expands its data protection and ...
Conquering the complexities of unstructured data to fuel generative AI (GenAI) apps remains a crucial challenge for many organizations. If said unstructured data can be delivered in clean, canonical ...
As Gartner Predicts Vector Databases Will Be Used in 30% of Enterprise Applications by 2026, Milvus Reaches Major Milestone ...
Enterprises rely on browser-based GenAI, increasing data-exposure risks and demanding strict policies, isolation, and ...
When Aquant Inc. was looking to build its platform — an artificial intelligence service that supports field technicians and agents teams with an AI-powered copilot to provide personalized ...
Headquartered in Redwood Shores, California, Zilliz is backed by leading investors including Aramco's Prosperity7 Ventures, Temasek's Pavilion Capital, Hillhouse Capital, 5Y Capital, Yunqi Partners, ...
Yair Finzi is co-founder & CEO of Nokod Security and was cofounder & CEO of SecuredTouch (now Ping Identity) and a product leader at Meta. The fusion of generative AI (GenAI) and low-code/no-code ...
Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose. AI is turning the idea of a database on its head.
Artificial intelligence (AI) processing rests on the use of vectorised data. In other words, AI turns real-world information into data that can be used to gain insight, searched for and manipulated.
The Mayo Clinic has been experimenting with forcing the technology to reveal source links for everything. And there are other approaches that might be viable. Mesmerized by the scalability, efficiency ...
Amazon Web Services (AWS) has announced vector storage for its S3 cloud object storage – S3 Vectors – in a move it claims will reduce the cost of uploading, storing and querying vectorised data in AI ...