Progress Agentic RAG

What is Progress Agentic RAG?

Progress Agentic RAG is an enterprise-grade retrieval-augmented generation platform designed to power AI agents, copilots, and assistants with a unified, governed knowledge layer. It transforms siloed enterprise documents, files, and media into AI-ready knowledge, enabling organizations to deliver accurate, context-aware answers across all applications. The platform excels in centralizing disparate data sources—such as research libraries, certification programs, training materials, and event recordings—into a single, searchable index. This eliminates the need for teams to start from scratch, cutting deployment time from months to weeks.

Key features include role-specific retrieval and access controls, ensuring that each team gets a tailored AI experience from the same knowledge layer without duplicating pipelines. Every answer is source-cited, audit-logged, and quality-scored, providing the governance and compliance that enterprises require. The platform supports a wide range of data types, including text, images, and videos, and leverages advanced AI models to understand complex queries and retrieve relevant information.

Benefits include improved member engagement, increased non-dues revenue, and higher retention rates for associations and enterprises. By replacing traditional keyword search with AI-powered answer delivery, organizations can unlock the full value of their content. Use cases span customer support, employee onboarding, research assistance, and compliance auditing. Technical details include integration with existing infrastructure, scalability to handle large volumes of data, and support for multiple languages. The platform has been recognized with an AI Excellence Award in Retrieval-Augmented Generation and is built on Progress’s proven data platform, ensuring reliability and performance.

Use Cases

Key Features

centralized knowledge layer role specific retrieval access controls source cited answers audit logging quality scoring multi format support AI powered retrieval rapid deployment enterprise governance

Who is it for?

enterprise teams, AI developers, knowledge managers, compliance officers, research librarians, training coordinators, IT administrators

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