Ragen vs RAGFlow
Ragen
ragen.ai
RAGFlow
ragflow.ioSide by side
| Figure | Ragen | RAGFlow |
|---|---|---|
| Price from | Free | $29/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 5 |
| Spec score · Retrieval-Augmented Generation Tools | 7.6 (#19) | 8.8 (#3) |
| Intended users | The site presents Ragen for company teams including HR, sales, customer service, operations and partners, and says it is aimed at organizations needing an on-premise or self-hosted knowledge assistant. | The site describes the platform as built for enterprise and lists solutions for financial services, legal and compliance, manufacturing, and education. |
| Purpose | Ragen answers questions from a company's documents and tools, with citations to the source. | RAGFlow describes itself as an open-source RAG engine and integrated agent platform for building a context layer for AI agents. |
| Security | Conversation content can be encrypted with keys in the customer's AWS KMS or Scaleway Key Manager, and optional masking covers PESEL, NIP, REGON and card numbers. | By default, RAGFlow validates MCP server URLs and rejects hosts that resolve to loopback, private, link-local, reserved, or other non-public addresses. |
Plans
RAGFlow
- FreeFree
- FreeFree
- Starter$29 a month
- Pro$129 a month
- EnterprisePriced on request
In their own words
Ragen
Ragen is a company knowledge assistant available through web, API, or self-hosting. It answers questions using company documents and connected tools, and includes citations to the source material. Teams can create separate assistants for departments such as HR, sales, compliance, customer service, and operations. A website chatbot handles product and policy questions continuously and can be embedded on permitted domains with one line of code. Ragen exposes knowledge to agents through MCP, an OpenAI-compatible API, and a TypeScript SDK. Integrations listed include Google Drive, HubSpot, ClickUp, Fireflies.ai, Google Calendar, Gmail, Slack, Notion, Google Analytics, WooCommerce, Open Mercato, and Rejestr.io; BaseLinker and KSeF are marked coming soon. Ragen Brain organizes documents into knowledge pages, flags contradictions and outdated files, and requires human approval before publishing. File and folder permissions are checked for every answer. Data remains on the customer’s infrastructure, with optional encryption keys and masking for specified identifiers.
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.