Flowise vs OpenRAG
Flowise
flowiseai.comOpenRAG
open-rag.aiSide by side
| Figure | Flowise | OpenRAG |
|---|---|---|
| Price from | $35/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 2 |
| Spec score · LLM Application Development Frameworks | 8.4 (#3) | 8.3 (#5) |
| Spec score · Retrieval-Augmented Generation Tools | 8.5 (#6) | 8.4 (#8) |
| Integrations | Flowise documentation says it connects to 100+ sources, tools, vector databases, and memories, and lists LangChain, LlamaIndex, and Zapier Zaps integrations. | The product documents compatibility with OpenAI API clients and names Open WebUI, LangChain, n8n and Twake.ai as integrations. |
| License | The sunset notice says Flowise source code remains on GitHub under the Apache 2.0 license and encourages teams to fork it. | OpenRAG is licensed under AGPL-3.0. |
| Product | Flowise is an open source generative AI development platform for building AI agents and LLM workflows. | OpenRAG is a modular framework for building document-grounded retrieval-augmented generation systems. |
| Security | Documentation lists RBAC, SSO, encrypted credentials, secret managers, rate limiting, and restricted domains as security controls. | The site describes fail-closed scopes, verified outbound connections, redacted secrets, non-root containers, rate limiting and security headers. |
| Support | The documentation lists community support and vendor support including SLA support and consultations; the sunset notice says official core team presence in Discord and GitHub concluded on August 31, 2026. | The product site directs technical questions to GitHub issues and links to documentation and a contact form. |
Plans
OpenRAG
- OpenRAG (AGPL-3.0 self-hosted)Free
- Managed OpenRAG servicePriced on request
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.
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.