Progress Software announced new capabilities within Progress Agentic RAG, an agentic retrieval-augmented generation (RAG) platform for AI agents and LLMs that connects enterprise knowledge to AI-powered experiences through a shared Agentic Knowledge Layer. The release includes a native Microsoft Teams application, a new Smart Agent for autonomous multistep retrieval and a WordPress plugin that improves content ingestion, fidelity and governance. The latest Progress Agentic RAG platform release gives organizations two complementary ways to put their knowledge behind AI agents.
Content can be ingested in advance through a governed Knowledge Box and kept continuously synchronized for fast, trusted retrieval. In addition, native Model Context Protocol (MCP) support in the platform's Smart Agent enables agents to access live business systems and web sources at the moment a question is asked, without duplicating data or requiring custom integrations for every system. Together, these capabilities help organizations bring AI into the tools employees use every day, deliver answers that span multiple systems and keep information current, all while preserving governance and avoiding costly rebuilds.
By bringing AI into a collaboration platform employees already use every day, organizations can accelerate adoption and give users access to enterprise knowledge, while maintaining existing permissions and governance controls without leaving their existing workflows. The new Smart Agent plans queries, creates sub-questions, retrieves information across a Knowledge Box, MCP-connected applications and web sources and evaluates results until sufficient information has been gathered. This enables organizations to answer more complex cross-system questions while reducing the need for custom orchestration and source-routing logic.
The native WordPress plugin gives administrators greater control over how WordPress content is indexed and refreshed within Progress Agentic RAG. By preserving content structure, metadata and taxonomy information, it improves retrieval quality, helps keep AI experiences aligned with current content and strengthens governance of enterprise knowledge. Existing Progress Agentic RAG customers inherit all three capabilities using the same indexed content, access controls and quality framework already in place, with no reindexing, pipeline rebuilds or architectural changes required.
The latest release of Progress Agentic RAG is now available.
