While relational databases rely on rigid structures, document databases are much more natural to work with and can be used for a variety of use cases across industries. A document database (also known ...

Document databases offer a wonderfully flexible data model that often leads to scaling and performance issues. Here’s how Aerospike overcomes these challenges. Digital transformation continues to be a ...

Andrew Ng’s startup LandingAI wants to make agentic AI the backbone of enterprise document processing with ADE DPT-2. (Photo by Mark RALSTON / AFP) (Photo credit should read MARK RALSTON/AFP via Getty ...

Mistral AI has released its OCR 3 document digitization model claiming superior accuracy over Google and OpenAI while cutting costs to just $2 per 1,000 pages.

The Linux Foundation, the nonprofit organization enabling mass innovation through open source, is announcing that DocumentDB—a fast-growing open source document database from Microsoft—has joined the ...

The model can quickly search documents, whether they are text-based or include images, diagrams, graphs, tables, code, diagrams, or other components. Embedding models help transform complex data — ...

There’s a transformative shift underway in financial services—one that’s hiding in plain sight, buried in your enterprise and client documents. For decades, documents have been viewed as a burdensome ...

Scraping the open web for AI training data can have its drawbacks. On Thursday, researchers from Anthropic, the UK AI Security Institute, and the Alan Turing Institute released a preprint research ...