Abstract: Retrieval Augmented Generation (RAG) is the de-facto technology used by pre-trained large language models to access data in databases, in addition to the data stored in their parameters.

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, ...

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 ...

Transferring data between iPhones has never been simpler thanks to built-in iOS tools that handle complete migrations without third-party apps or computers. These tools preserve everything from Face ...

MongoDB has cemented its status as a global leader in the database market, evolving well beyond its roots as a popular NoSQL platform. Its adaptability and forward-thinking strategy continue to ...

You don’t need a garden to grow mushrooms. This quick tutorial shows how to cultivate gourmet varieties at home using affordable tools and minimal effort. Canada making border crossing change that ...

Rachel Pizzolato shows a quick brake change tutorial on a Hyundai vehicle. Smithsonian removes Trump impeachment text as it swaps his portrait 'This is a mistake, President': Bill Ackman responds to ...

This expansion is fueled by the rapid adoption of AI, LLMs, and multimodal applications that require high-performance vector search, scalable indexing, and real-time retrieval. By offering, the ...

When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing — a ...

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.