Progress Software launched Progress Agentic RAG, a SaaS Retrieval-Augmented Generation (RAG) platform designed to make trustworthy and verifiable generative AI accessible across organizations and teams of all sizes.
“Progress Agentic RAG is redefining how businesses interact with their data,” says Yogesh Gupta, CEO of Progress Software. “By combining agentic intelligence with retrieval-augmented generation, we’re making AI practical, scalable and trustworthy for every organization. This platform unlocks the power of unstructured data—across formats and languages—through verifiable, no-code AI search. We believe Progress Agentic RAG is the easiest-to-use solution on the market today for helping businesses extract real value from GenAI.”
Key takeaways:
· Progress Agentic RAG serves diverse users, from small businesses to global enterprises, leveraging intelligent AI agents that ingest, retrieve and reason across all content types with speed, transparency and precision. Its flexible SaaS deployment model minimizes barriers to adoption, making transformative AI both accessible and affordable.
· Key features include no-code RAG pipeline with agent-powered and streamlined ingestion, indexing and retrieval across multilingual text, audio, video and other formats; intelligent search, which enables the delivery of AI search and generative answers on top of unstructured data; designed to deliver reliable and scalable retrieval functionalities to AI agents; supports all leading enterprise-ready large language models (LLMs); purpose-built database with built-in semantic search, keyword search, metadata search, knowledge graph traversal and multi-modal understanding; and built-in tools to support traceability and consistent answer quality.
· Already deployed across industries, Progress Agentic RAG is accelerating sales cycles through AI-driven product recommendations, powering automated customer support through high-quality responses and arming legal teams with precise semantic research. Organizations are further using the platform to preserve institutional knowledge, streamline onboarding and securely query sensitive data—driving faster workflows and smarter decision-making.
