Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models.

Enterprises are creating huge amounts of data and it is being generated, stored, accessed, and analyzed everywhere – in core datacenters, in the cloud distributed among various providers, at the edge, ...

On the morning of August 21, Dameng Data's Vice General Manager, Fu Xin, delivered a keynote speech titled "Intelligent Multi ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

The proliferation of large language models and generative AI has created fertile ground for vector database technologies to flourish.

As AI evolves from prediction to autonomy, enterprise systems must adapt—meeting new demands in data retrieval, caching, ...

This approach features a centralized database linked to other data stores with a common data model that carries information from one point to another, without the need to rewrite code.

According to news from the organizing committee of the 2025 Data Expo, domestic database leader Electric Science and ...

OpenAI is collaborating with Stack Overflow, the Q&A forum for software developers, to improve its generative AI models' performance on ...