OpenRAG vs Progress Agentic RAG
OpenRAG
open-rag.ai
Progress Agentic RAG
progress.comSide by side
| Figure | OpenRAG | Progress Agentic RAG |
|---|---|---|
| Price from | Free | $700/mo |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 3 |
| Spec score · Retrieval-Augmented Generation Tools | 8.4 (#8) | 7.9 (#14) |
| Founded | 2000 | 1981 |
| Integrations | The product documents compatibility with OpenAI API clients and names Open WebUI, LangChain, n8n and Twake.ai as integrations. | Retrieval agents can query knowledge boxes, SQL databases, internet search services, and MCP servers in one response. |
| Purpose | OpenRAG is a modular framework for building document-grounded retrieval-augmented generation systems. | Progress Agentic RAG provides a centralized agentic knowledge layer connecting enterprise content to AI experiences. |
| Search | Retrieval combines semantic search with BM25 keyword matching and multilingual reranking. | It supports hybrid search, chunking, and metadata filtering, configurable for different use cases. |
| Security | The site describes fail-closed scopes, verified outbound connections, redacted secrets, non-root containers, rate limiting and security headers. | The product page states that the platform supports permission-aware retrieval, role-based access controls, and end-to-end audit logging. |
| Support | The product site directs technical questions to GitHub issues and links to documentation and a contact form. | Starter includes community support, Pro includes community support plus ZenDesk, and Enterprise includes a private Slack channel plus Zendesk. |
Plans
OpenRAG
- OpenRAG (AGPL-3.0 self-hosted)Free
- Managed OpenRAG servicePriced on request
Progress Agentic RAG
- Starter$700 a month
- Pro$1,925 a month
- EnterprisePriced on request
In their own words
OpenRAG
OpenRAG is a modular framework for building systems that answer questions using documents as their grounding. Its retrieval combines semantic search with BM25 keyword matching and multilingual reranking; answers cite a source document and page, with links to the cited location. Document processing covers listed text, office, email, audio, video, and image formats, with PDF layout awareness, OCR, image captioning, and audio transcription. The product includes an admin console, chat interface, and OpenAI-compatible API, and can connect to user-provided models or a hosted provider. Partition isolation, owner, editor, and viewer roles, plus token or OpenID Connect authentication, are among its access controls. It can run on infrastructure controlled by the deployer, keeping documents, embeddings, and queries within that environment. The self-hosted AGPL-3.0 edition is listed at free. Deployment prerequisites are Docker, Docker Compose, and at least 16 GB of RAM; a CPU-only profile is optional. CSV, ODT, and HTML support, tool calling, agentic RAG, MCP, and encryption in transit and at rest are listed as coming soon.
Progress Agentic RAG
Progress Agentic RAG has no write-up on Specifiction yet; its figures are above.