SurrealDB 3.0 launches with $23M in new funding and a pitch to replace multi-database RAG stacks with a single engine that handles vectors, graphs, and agent memory transactionally.

To operate, organisations in the financial services sector require hundreds of thousands of documents of rich, contextualised data. And to organise, analyse and then use that data, they are ...

What if creating a sophisticated AI agent was as simple as arranging building blocks on a digital canvas? With OpenAI’s Agent Builder, this vision is no longer a distant dream but a tangible reality.

What if building your own AI agent was as simple as dragging and dropping a few blocks? Imagine automating tasks, enhancing customer interactions, or even streamlining entire workflows, all without ...

See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to use an LLM to extract structured data for text filtering. One of the ...