Tag: RAG

Progress Agentic RAG ranked #1 on Snowflake's MADQA Leaderboard, an independent benchmark built with Oxford, UNC-Chapel Hill, and Hugging Face that tests whether AI answers are accurate and properly grounded in real documents, not just plausible-sounding. The win validates a year of work since the Nuclia acquisition building the Agentic Knowledge Layer (agentic capability embedded across ingestion, retrieval, and evaluation) and lands as the broader market shifts toward trust and governance as the deciding factor for enterprise AI.

Continuous RAG evaluation turns accuracy from a sampled opinion into scored, traceable evidence for governance and quality teams. Instead of one reviewer’s read on a handful of answers, every response gets scored for context relevance, answer relevance and groundedness, and those scores accumulate into a trend line a quality lead can actually inspect.

Ragie is shutting down July 19. If you built on it, here's an honest breakdown of your migration options, what Progress Agentic RAG offers as a replacement, and exactly how to move your pipeline before the deadline.

On April 15, 2026, Progress hosted a live webinar featuring Michael Marolda, Senior Product Marketing Manager, and Sarvesh Kadia, Sales Engineer. Here's a summary of what was covered if you weren't able to join.

Retrieval choices determine whether answers stay exact, conversational or multi-step.