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SPECIFICTION
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Flowise vs RAGFlow

Flowise

flowiseai.com

RAGFlow

ragflow.io

Side by side

FigureFlowiseRAGFlow
Price from$35/mo$29/mo
Free planYesYes
Free trialYes—
Open source—Yes
WebYesYes
WindowsYes—
macOSYesYes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published35
Spec score · Retrieval-Augmented Generation Tools8.5 (#6)8.8 (#3)
LicenseThe sunset notice says Flowise source code remains on GitHub under the Apache 2.0 license and encourages teams to fork it.The public repository is labeled Apache-2.0 licensed.
SecurityDocumentation lists RBAC, SSO, encrypted credentials, secret managers, rate limiting, and restricted domains as security controls.By default, RAGFlow validates MCP server URLs and rejects hosts that resolve to loopback, private, link-local, reserved, or other non-public addresses.

Plans

Flowise

  • FreeFree
  • Starter$35 a month
  • Pro$65 a month

Flowise pricing →

RAGFlow

  • FreeFree
  • FreeFree
  • Starter$29 a month
  • Pro$129 a month
  • EnterprisePriced on request

RAGFlow pricing →

In their own words

Flowise

Flowise is an open source platform for building generative AI agents and large language model workflows. Its Assistant, Chatflow, and Agentflow visual builders cover assistants, chatbots, single- and multi-agent systems, and workflow orchestration. Listed capabilities include execution logs, visual debugging, evaluations, human review, and retrieval-augmented generation indexing pipelines. Documentation describes connections to more than 100 sources, tools, vector databases, and memories, including LangChain, LlamaIndex, and Zapier Zaps. Developers can use APIs, an embedded chat widget, and TypeScript or Python SDKs. Deployment options include cloud and on-premises setups, as well as self-hosting through npm or Docker. Listed security controls include role-based access, single sign-on, encrypted credentials, secret managers, rate limiting, and restricted domains. The project is winding down: active feature development ceased July 29, 2026; repository archival is listed for August 10; and end of life is August 31, 2026. Source code remains under Apache 2.0. Free costs nothing; Starter costs $35 a month.

Visit flowiseai.com

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.

Visit ragflow.io