AI's shift to inference at scale from model development is tilting data-center demand toward databases, especially those used ...

Called the Wikidata Embedding Project, the system applies a vector-based semantic search to the existing data on Wikipedia ...

While the front-end user experience will remain the same — no, Wikipedia is not becoming a chatbot, the project leaders say — ...

Overview: Structured datasets save time and simplify data collection for AI and research projects.Pre-built marketplaces and ...

Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s ...

The global nonprofit WITNESS seeks to address one of the biggest data gaps in the digital verification landscape: the ...

RAG’s promise is straightforward: retrieve relevant information from knowledge sources and generate responses using an LLM.

Five months after Databricks Inc. acquired one of its main rivals for $1 billion, Supabase has raised $100 million in ...

Server, an open-source tool designed to make public data more accessible to AI systems. For developers, this means a ...

Some AI chatbots rely on flawed research from retracted scientific papers to answer questions, according to recent studies.

Nebius Group N.V., citing its comprehensive AI ecosystem and neocloud leadership, a $17.4B Microsoft deal. Read why NBIS ...

Graph database provider Neo4j Inc. today announced that it will invest $100 million to accelerate its role as what it calls ...