Data & AI

An AI agent refers to a software entity that performs automated tasks on behalf of humans or other systems. These agents are programmed to make decisions and take actions based on their environment and predefined goals. In the context of AI and machine learning, agents often leverage algorithms to analyze data, learn from outcomes and improve their performance over time, often more efficiently than a human could.

This is the third and final article in our series following DataVault’s implementation of Progress' RAG-as-a-Service platform, Progress Agentic RAG.

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.