In this contributed article, editorial consultant Jelani Harper suggests that perhaps the single greatest force shaping—if not reshaping—the contemporary data sphere is the pervasive presence of foundation models. Manifest most acutely in deployments of generative Artificial Intelligence, these models are impacting everything from external customer interactions to internal employee interfaces with data systems.
2024 Trends in Data Technologies: Foundation Models and Confidential Computing
January 15, 2024 by Leave a Comment
New MongoDB Atlas Vector Search Capabilities Help Developers Build and Scale AI Applications
September 26, 2023 by Leave a Comment
MongoDB, Inc. (NASDAQ: MDB) announced new capabilities, performance improvements, and a data-streaming integration for MongoDB Atlas Vector Search that make it even faster and easier for developers to build generative AI applications. Organizations of all sizes have rushed to adopt MongoDB Atlas Vector Search as part of a unified solution to process data for generative AI applications since being announced in preview in June of this year.
Timescale Vector Launches to Enable Developers to Build Production AI Applications at Scale With PostgreSQL
September 25, 2023 by Leave a Comment
Timescale, the cloud database company, announced the launch of Timescale Vector, enabling developers to build production AI applications at scale with PostgreSQL. With Timescale Vector, which sits atop Timescale’s production-grade cloud PostgreSQL platform, developers can now leverage a single platform for managing relational data, vector embeddings, time-series data, analytics and event data that powers their next-generation AI applications. Developers can now bring AI products to market faster, more reliably and efficiently than with traditional vector databases.
KX Announces KDB.AI Cloud: The Free, Smarter Vector Database for AI
September 13, 2023 by Leave a Comment
KX, a pioneer in vector and time-series data management, has announced the general availability of KDB.AI Cloud, a vector database for real-time contextual AI. Quick and easy to set up and use, this free, cloud-based version of KDB.AI, the leading vector database , has been designed with a commitment to provide a superior developer experience.
Zilliz Cloud Slashes Prices, Launches Free Tier to Democratize Vector Databases
June 14, 2023 by Leave a Comment
Zilliz Cloud was already a fast vector database. Now it’s even more affordable. And you can’t get more affordable than free. The latest version of Zilliz Cloud, the managed service from the inventors of Milvus, includes a raft of new features along with additional pricing options for individuals and organizations. It makes vector databases accessible for projects of all sizes. Developers can now, regardless of budget, spin up generative AI applications while protecting against hallucination.
Latest Version of Zilliz Cloud Aims to Cure AI ‘Hallucinations’
April 12, 2023 by Leave a Comment
Zilliz Cloud is the managed service from Zilliz, the inventors of Milvus, the open source vector database used by more than 1,000 enterprises around the world. It’s purpose-built for AI and other applications powered by unstructured data. It represents data as high-dimensional vectors, or embeddings — the kind generated by machine-learning models.
Zilliz Pioneers Vector Database R&D, Shares New Findings at VLDB 2022
September 19, 2022 by Leave a Comment
The latest research on vector databases from Zilliz, a leading vector database company and the inventor of Milvus, was featured at the 48th International Conference on Very Large Databases (VLDB 2022). The paper, titled “Manu: A Cloud Native Vector Database Management System,” explains Manu, the project name for Milvus 2.0, as a cloud-native, next-generation vector database that implements long-term evolvability, tunable consistency, good elasticity, and high performance.
Zilliz Announces Key Contributions to Milvus 2.1, the Leading Open-Source Vector Database for Structured and Unstructured Data
August 10, 2022 by Leave a Comment
Zilliz, whose founders created the Milvus open-source project, announced major contributions to the Milvus 2.1 release. The added functionality further bridges the gap between data pools, removes data silos, and offers performance and availability enhancements to address developers’ most common concerns. Milvus is one of the world’s most advanced vector databases, capable of managing massive quantities of both structured and unstructured data to accelerate the development of next-generation data fabric.
