Microsoft has launched a database management tool it promises will help users manage multiple databases sharing a single SQL engine. With the vendor's Fabric data platform, Database Hub promises a ...

Following a merger that left the Australian fintech with a fragmented data architecture, Lendi Group has consolidated its ...

Abstract: Retrieval-augmented generation pipelines store large volumes of embedding vectors in vector databases for semantic search. In Compute Express Link (CXL)-based tiered memory systems, ...

The 13% succeeding with AI platforms share one move: unifying their data on an extensible Postgres® foundation.

But Oracle has promised to make development of the Community Edition of the database more transparent and inclusive, and to ...

Under Oracle's management, MySQL's development lacks transparency and largely takes place behind closed doors through private code drops, "with limited visibility into the roadmap or decision-making," ...

In this tutorial, we build an elastic vector database simulator that mirrors how modern RAG systems shard embeddings across distributed storage nodes. We implement consistent hashing with virtual ...

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Information retrieval systems are designed to satisfy a user. To make a user happy with the quality of their recall. It’s important we understand that. Every system and its inputs and outputs are ...

Endee.io launches Endee, an open source vector database delivering fast, accurate, and cost-efficient AI and semantic search at scale. Endee rethinks vector DBs for high recall, low latency, and low ...