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.

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.