Progress Agentic RAG - 2026 Pricing, Features, Reviews & Alternatives

Progress Agentic RAG is a SaaS Retrieval-Augmented Generation platform that transforms enterprise documents, files, and media into a governed, AI-ready knowledge layer. Deployable via cloud (US or EU regions), hybrid (cloud processing with local NucliaDB storage), or on-premises, it automatically ingests, indexes, and retrieves content across 60+ file formats, including multilingual text, audio, video, PDFs, images, and tabular data. A no-code RAG pipeline handles ingestion and indexing without engineering overhead, while multi-LLM support covering Google Gemini, OpenAI, Mistral, Anthropic, Llama, and DeepSeek allows single-click model switching per workflow without reindexing.

The platform's agentic retrieval architecture deploys dynamic agents that decompose complex questions into sub-questions, route each to the appropriate source (knowledge boxes, SQL databases, internet search, or MCP servers), and refine retrieval iteratively. An AI search engine combines semantic analysis with LLM-generated answers and source citations. Supporting capabilities include query rewriting, Named Entity Recognition (NER), custom AI classification models trainable at document or paragraph level, AI summarization across all content types, layout-aware document extraction, and automatic audio and video transcription. A built-in RAG evaluation model (REMi) measures answer relevance, context relevance, and groundedness on every response, while an AI judge agent scores quality and auditability end-to-end.

Progress Agentic RAG targets organizations of all sizes across legal, financial services, healthcare, customer support, e-commerce, software development, and content-heavy associations. Role-based access controls (RBAC), permission-aware retrieval, end-to-end audit logging, GDPR-ready data anonymization, and built-in governance make it suited for regulated industries requiring compliance and traceability. Enterprise integration is supported through embeddable widgets, APIs, SDKs, and a white-label or OEM-ready, API-first modular architecture. SaaS pricing combines predictable subscriptions with on-demand consumption tiers.