# Progress Agentic RAG Progress Agentic RAG is an enterprise platform that indexes documents, files, and media into a governed knowledge layer for search, assistants, and agent workflows, with tuned retrieval, citations, access controls, and tiered pricing. - Findings24: - Website: - Pricing: Freemium - Categories: AI Agent Infrastructure, AI Knowledge Base, AI Search Engine ## What is Progress Agentic RAG? Progress Agentic RAG is an agentic RAG platform that turns enterprise documents, files, and media into a governed knowledge layer for AI assistants, agents, and search. It combines ingestion, retrieval, model selection, and validation in one system so teams can build AI experiences from the same indexed content source. The platform is positioned for enterprise AI use cases where content needs to be searchable, cited, access-controlled, and reusable across multiple experiences. The source describes support for semantic search, source citations, audit logs, role-based access controls, and a range of plan tiers from a free trial to custom enterprise pricing. ## What can Progress Agentic RAG do? ### Multi-format ingestion The platform ingests 30+ file formats, including documents, spreadsheets, audio, video, and more, into one indexed foundation that stays continuously updated. ### Retrieval tuning It supports hybrid search, chunking, and metadata filtering so retrieval can be tuned per use case without changing the underlying infrastructure. ### Model selection and switching The system lets teams choose from 40+ supported LLMs and swap models as requirements change without re-indexing the knowledge layer. ### Validation and traceability Answers are backed by source citations, audit logging, and built-in REMi evaluation metrics so teams can review and improve output quality. ### Security and access control Enterprise controls include permission-aware retrieval, role-based access controls, and end-to-end audit logging. ### Expanded AI tasks on higher tiers The pricing page lists AI classification, generative search, AI Assistant, and document summarization on Pro and Enterprise plans. ## Use Cases ### Internal knowledge hubs Centralize internal documents and media into a single governed layer so employees can ask questions and retrieve grounded answers from approved content. ### Search experiences Build AI-powered search experiences for portals, intranets, or customer-facing properties where results need to be relevant and source-backed. ### AI assistants Deploy assistants that answer questions across the enterprise knowledge base while respecting access controls and audit requirements. ### Engineering and documentation Support technical teams by indexing specs, documentation, and institutional knowledge across different file formats and sources. ### Customer support self-service Improve support workflows with grounded answers drawn from approved knowledge instead of relying only on free-form model responses. ## Frequently Asked Questions ### Does Progress Agentic RAG offer a trial? The trial is free for 14 days. After the trial ends, you need a paid plan to continue using the platform; otherwise the trial account is disabled after 90 days. ### How is Progress Agentic RAG priced? The platform is offered on a subscription and consumption basis. The pricing page says token usage is charged at $0.008 per token, with the first 10,000 tokens per month included on some plans. ### Can subscriptions be changed after purchase? Yes. The pricing page says users can cancel, upgrade, or downgrade from the dashboard or by contacting the company. Upgrades take effect immediately after payment, while downgrades apply at the end of the billing period. ### What does the platform do after content is indexed? The homepage says the platform indexes enterprise content into a governed knowledge layer, then uses semantic search and an LLM to produce grounded answers. The pricing page also lists RAG, Q&A, AI classification, generative search, AI Assistant, and doc summarization on higher plans. ### What types of teams is it built for? The source describes enterprise knowledge management, AI-powered search, AI assistants, engineering and technical documentation, and customer support or self-service as common use cases. ## Quick Facts - **Category**: Agentic RAG platform - **Primary use**: Enterprise knowledge, search, assistants, and agent workflows - **Source domain**: nuclia.com - **Pricing model**: Paid tiers with 14-day trial and custom enterprise pricing - **Deployment**: Cloud, with hybrid cloud options on Enterprise