Data & AI

Video has become a critical tool for troubleshooting, learning and getting work done. Learn how AI video indexing in Progress Agentic RAG contributes to enterprise AI strategy by unlocking knowledge stored in recordings, providing verifiable evidence for decisions, improving cross-team knowledge sharing and supporting governance.

Organizations are dealing with unprecedented amounts of data, and while this data has the potential to help drive more informed business decisions and facilitate AI projects, data silos can arise and prevent companies from realizing the true potential of their data. One solution to this challenge is Microsoft Fabric, a platform that allows data from multiple different sources to be unified in a single data lake where it can be connected to different analytics and reporting tools, like Power BI.

This blog explores how RAG enables more efficient, governable AI, and why it’s now a critical requirement for scaling enterprise AI cost-effectively.

This post compares ChatGPT to traditional retrieval-augmented generation (RAG) and the Progress Agentic RAG solution, highlighting the difference between AI tools built for personal use and those designed to serve as governed knowledge layers across an organization.