Progress Agentic RAG

The platform automatically indexes files and documents, enabling large language models and AI agents to retrieve and generate answers with citations from unstructured data. It offers a modular RAG‑as‑a‑service pipeline that can be tuned without coding, supports any LLM, and provides quality metrics that trace responses back to their source.

It is aimed at organizations that need to extract actionable insights from diverse data sources—such as websites, financial records, legal documents, or video content—while maintaining privacy and security compliance. Multilingual support and varied deployment options allow use across global teams and existing systems.

Key distinguishing features include end‑to‑end automation of indexing, configurable quality controls, and the ability to switch between different LLM providers without rebuilding the pipeline. The service emphasizes data protection through industry‑standard certifications and ongoing assessments.