Progress Agentic RAG vs RAGFlow
Progress Agentic RAG
progress.com
RAGFlow
ragflow.ioSide by side
| Figure | Progress Agentic RAG | RAGFlow |
|---|---|---|
| Price from | $700/mo | $29/mo |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 5 |
| Spec score · Retrieval-Augmented Generation Tools | 7.9 (#14) | 8.8 (#3) |
| Intended users | The pricing page positions Starter for startups and small teams, Pro for mid-size organizations, and Enterprise for large enterprises. | The site describes the platform as built for enterprise and lists solutions for financial services, legal and compliance, manufacturing, and education. |
| Purpose | Progress Agentic RAG provides a centralized agentic knowledge layer connecting enterprise content to AI experiences. | RAGFlow describes itself as an open-source RAG engine and integrated agent platform for building a context layer for AI agents. |
| Search | It supports hybrid search, chunking, and metadata filtering, configurable for different use cases. | Its search combines vector search, BM25, custom scoring, and advanced re-ranking. |
| Security | The product page states that the platform supports permission-aware retrieval, role-based access controls, and end-to-end audit logging. | By default, RAGFlow validates MCP server URLs and rejects hosts that resolve to loopback, private, link-local, reserved, or other non-public addresses. |
Plans
Progress Agentic RAG
- Starter$700 a month
- Pro$1,925 a month
- EnterprisePriced on request
RAGFlow
- FreeFree
- FreeFree
- Starter$29 a month
- Pro$129 a month
- EnterprisePriced on request
In their own words
Progress Agentic RAG
Progress Agentic RAG has no write-up on Specifiction yet; its figures are above.
RAGFlow
RAGFlow is an open-source retrieval-augmented generation engine and agent platform for building a context layer for AI agents. Its ingestion pipeline processes multiple data formats into semantic representations for retrieval. Search combines vector search and BM25 with custom scoring and re-ranking, while visual workflows connect retrieval, tools, and MCPs for agent orchestration. Users can connect online, local, and OpenAI-compatible model providers for knowledge bases, chats, search, and agents. Documented connectors include Notion, Google Drive, S3, Microsoft Teams, REST API, and Sitemap. RAGFlow provides HTTP and Python APIs, and a chat assistant can be embedded in another webpage using an iframe. It offers cloud and self-hosted deployment; Docker deployment has a stated minimum of 4 CPU cores, 16 GB RAM, and 50 GB disk. The free plan includes five apps, one team member, 0.1 GB of dataset storage, and 500 monthly credits, but no API key. Starter costs $29 a month and includes an API key.