Agentic RAG

Test how your RAG system handles vague, misspelled, random and generally human questions before adding it to your production site. Here’s how.

Introducing the Smart Agent, a new capability in Progress Agentic RAG that breaks complex questions into sub-questions, decides where to look for each one, and keeps searching until the answer is complete. It works on existing setups with no new pipeline or re-indexing. The blog highlights two additions: live data from business apps like Zendesk, Salesforce and ServiceNow through MCP, and a built-in web search tool backed by Perplexity and Google Gemini. Both are cited alongside internal content in a single answer.

The October release adds three capabilities to Progress Agentic RAG with nothing to install: a Smart Agent that answers questions using both indexed content and live business apps like a CRM, a native Microsoft Teams app, and a WordPress plugin that keeps content current. Built-in citations, quality scoring and audit logs let reviewers trace each step the agent takes. The blog ends by inviting readers to an October 22 walkthrough or a demo.

AI models can now take a million tokens in a single prompt, so it’s fair to ask why an agent still needs a layer that hunts down the few relevant passages before it answers. Narrowing first is cheaper and more accurate and it keeps you free to change AI vendors later.