Progress Agentic RAG is a SaaS platform that automatically indexes files and documents from internal and external sources to power LLMs and AI agents. It provides an end-to-end, no-code RAG pipeline with quality metrics, enabling users to get trusted, traceable answers from unstructured data. Key features include modular RAG-as-a-service, support for multiple LLMs (e.g., OpenAI, Anthropic, Gemini), multilingual capability, and flexible deployment options with privacy and security certifications (SOC 2 Type II, ISO 27001). Use cases include generative search for websites, video indexing and AI search, legal document analysis, and financial industry decision-making. The platform delivers 80% cost savings compared to building custom RAG solutions.
Key Benefits
- End-to-end pipeline without coding
- Quality metrics with traceability to original sources
- Flexibility to switch between different LLMs
- Multilingual support for global customers