Data & AI

This article explores how to built sophisticated data pipelines, connect multiple sources and create AI-powered systems that transform scattered information into actionable intelligence—all while facing a critical compliance deadline.

What exactly is a vector, and more importantly, why should you care? In simple terms, a vector is a numeric representation of data. For example, a paragraph of text, an image, or even a sound clip can be transformed into a vector, which is a series of numbers that capture its meaning, context or features. Vectors allow computers to “understand” unstructured data and compare it in ways that traditional databases cannot, both of which are foundational to AI.

Enterprise knowledge management is broken. Critical insights get buried in email threads, brilliant analysis disappears into network drives and teams unknowingly duplicate work that was completed months earlier. The promise of AI-powered search and retrieval augmented generation (RAG) offers a solution—but how does it work in practice? Read our blog to find out.

Read how to increase the performance of your graph queries and improve the contextual relevance of your semantic RAG systems with native support for the graph shortest path algorithm in Progress MarkLogic Server 12.