Data & AI

LLM-powered agents (or AI copilots) take generative AI beyond basic Q&A by combining conversational ability with goal-driven behavior, and Nuclia makes it easy to build these agents by pairing RAG-powered context with tools for ingestion, prompting and deployment. This enables highly tailored, domain-specific assistants—from city guides to enterprise copilots—without requiring deep ML expertise.

This article explores how Nuclia streamlines research by transforming scattered AI-related resources into direct, actionable answers—eliminating manual search, reducing noise and ensuring accuracy without hallucinations.

UX plays a major role in creating the illusion of intelligence in generative AI, from human-like pauses to natural rewording, but those signals can mislead users and amplify frustration when the system fails. Helping users understand what AI can and can’t do is essential for building reliable, user-centered AI experiences.

The Progress Agentic RAG solution empowers OpenEdge users to unlock actionable, trustworthy AI insights by seamlessly combining structured and unstructured enterprise data, accelerating modernization, boosting productivity and enabling explainable, cost-effective AI adoption without disrupting existing operations.