Tag: Retrieval Augmented Generation

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.

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.

RAG and Prompt Labs give teams a sandbox to tune retrieval and prompt configurations before they reach production.

In R&D, the true power of AI like ChatGPT lies not in clever prompts, but in context engineering: the discipline of shaping and delivering the accurate information from a company’s vast knowledge base so AI can deliver meaningful, domain-specific insights.

Catch our recent episodes on The Cloud Architects Podcast to learn why data is the new oil and gain insights on generative AI, Retrieval Augmented Generation (RAG) and the role of the prompt architect.