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 ...

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, ...

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.

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 ...

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.

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

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 ...

High-performance open-source vector database Qdrant today announced the launch of BM42, a new pure vector-based hybrid search approach for modern artificial intelligence and retrieval-augmented ...

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 ...

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 ...