VentureBeat

Timescale expands open source vector database capabilities for PostgreSQL

Timescale is looking to further advance its namesake open-source database platform with new AI capabilities announced today. Timescale was founded in 2017 as a time series database (TSDB) technology ...
VentureBeat

Open source vector database vendor targets enterprise AI costs with cloud update

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More As generative AI usage has grown dramatically in the last several years, ...
SiliconANGLE

Open-source vector database Qdrant expands enterprise cloud AI features

High-performance open-source vector database Qdrant has added new enterprise-level security and management tools to its cloud offering, allowing companies to deploy and scale up artificial ...
InfoQ

MariaDB Introduces Open-Source Vector Preview, Aiming to Become Default MySQL Option

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
InfoWorld

MongoDB releases mongot source code to boost RAG and AI workloads

By releasing the code behind its search and vector engine under the SSPL, MongoDB is giving self‑managed users new visibility ...
dbta

Open Source Vector Database Milvus Radically Reduces Costs and Complexities with Latest Update

Zilliz, the company behind the open-source vector database Milvus, is unveiling Milvus 2.6, the latest iteration of its database technology designed to accommodate the modern demands of AI workloads ...
TweakTown

KIOXIA's groundbreaking AiSAQ Technology now available in leading open-source vector database

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 ...
Computer Weekly

Storage technology explained: Vector databases at the core of AI

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.
InfoWorld

Do vector-native databases beat add-ons for AI applications?

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.
TMCnet

MongoDB Continues to Grow with Vector Database Market Thriving

MongoDB has cemented its status as a global leader in the database market, evolving well beyond its roots as a popular NoSQL ...
SiliconANGLE

Qdrant launches hardware-independent, GPU-accelerated vector indexing capability

Qdrant, the developer of a high-performance open-source vector database, today introduced its graphics processing unit accelerated vector indexing capability that will make scaling up artificial ...