Discover how the Progress® Agentic RAG solution delivers a complete RAG-as-a-Service solution built for enterprise AI accuracy, transparency and scale. This data sheet breaks down the modular pipeline, multi-modal ingestion, advanced retrieval strategies and audit-ready citations that power trusted generative AI (GenAI) experiences.
What You'll Learn:
How modular Retrieval-Augmented Generation (RAG) accelerates AI adoption with no/low-code deployment
Why multi-modal ingestion of PDFs, audio, video, images, etc. is essential for enterprise-grade AI
How 30+ retrieval strategies and semantic chunking improve accuracy and reduce hallucinations
How traceability, citations and quality metrics (REMi) build trust and support compliance
How LLM-agnostic infrastructure adds the flexibility needed to meet future demands on your AI stack
