Progress Software, long known for its enterprise-grade infrastructure and digital experience tools, is planting a bold flag in the generative AI space with the launch of Progress® Agentic RAG. The SaaS platform is designed to democratize Retrieval-Augmented Generation (RAG)—a method that grounds large language model (LLM) answers in real business data—by stripping away the complexity and cost usually associated with enterprise AI adoption.
The move is part of a broader industry trend: businesses want AI that’s not only smart but also trustworthy. Hallucinations—the bane of LLMs—are unacceptable in critical workflows like legal research, customer service, or compliance. RAG addresses this by anchoring generative answers in verified company data. Progress claims Agentic RAG makes that capability accessible to everyone from small firms to global enterprises.
Why It Matters
Companies are drowning in unstructured content—documents, PDFs, videos, call transcripts, you name it. Generative AI without this context is like an intern with amnesia: quick to answer, but often wrong. Traditional RAG solutions exist, but most demand heavy engineering resources and deep AI expertise. Progress is betting that businesses want a simpler path.
As Yogesh Gupta, CEO of Progress, put it: “We’re making AI practical, scalable and trustworthy for every organization. This platform unlocks the power of unstructured data—through verifiable, no-code AI search.”
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