Progress Software, the trusted provider of AI-powered digital experience and infrastructure software, is launching Progress Agentic RAG, a SaaS Retrieval-Augmented Generation (RAG) platform designed to make trustworthy and verifiable generative AI accessible across organizations and teams.
According to the company, this launch marks a major milestone in affordable AI innovation for organizations looking to get the benefits of Large Language Models (LLMs) with results based on real business data.
The new platform expands Progress’ portfolio of end-to-end data management, retrieval and contextualization solutions that empower businesses to leverage all their data to gain a competitive edge.
Progress Agentic RAG delivers traceable and intuitive GenAI-powered search that is simple to set up, easy to use, and affordable for businesses of any size, the company said.
“Progress Agentic RAG is redefining how businesses interact with their data,” said 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.”
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 of Progress Agentic RAG platform:
- No-code RAG pipeline: Agent-powered and streamlined ingestion, indexing and retrieval across multilingual text, audio, video and other formats.
- Intelligent search: Enables the delivery of AI search and generative answers on top of unstructured data, providing knowledge in the form of trusted answers, in almost any language, from almost any data.
- Deploy AI agents seamlessly: The only RAG platform specifically designed to deliver reliable and scalable retrieval functionalities to AI agents.
- Multi-Model integration: Supports all leading enterprise-ready Large Language Models (LLMs), offering full user control over the choice of LLM.
- Purpose-built Database for RAG: Underpinned by NucliaDB, which, in addition to storing vectors, has built-in semantic search, keyword search, metadata search, knowledge graph traversal and multi-modal understanding—all needed to produce coherent, trusted, human-grade answers.
- RAG Evaluation Metrics (REMi): Built-in tools to support traceability and consistent answer quality.
Progress Agentic RAG platform is available now as a self-service offering on AWS Marketplace, as well as at Progress.com.
For more information about this news, visit www.progress.com.