Flowise vs ragflow

Common questions

What is the difference between Flowise and ragflow?

Flowise: Build AI Agents, Visually. ragflow: Retrieval-Augmented Generation engine with agent capabilities. See the comparison table for live GitHub stats and shared categories.

When should I choose Flowise over ragflow?

Choose Flowise over ragflow when Flowise is primarily TypeScript; ragflow is Go; License: Flowise is Other, ragflow is Apache-2.0; Requirements: Requires Docker; Can be installed locally using NodeJS or Docker Compose. Supports various hosting options including cloud platforms and personal servers.; Both Flowise and RAGFlow enable the creation of AI Agents but through different visual or programming approaches, making them alternatives in the context of building agentic applications; Tags unique to Flowise: large language models, low-code, multiagent-systems, no-code; Also covers Developer Tools; Flowise enables users to build AI agents visually, focusing on a low-code/no-code approach with support for technologies like langchain and large-language-models.

When should I choose ragflow over Flowise?

Choose ragflow over Flowise when ragflow is primarily Go; Flowise is TypeScript; License: ragflow is Apache-2.0, Flowise is Other; Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services.; Both Flowise and RAGFlow enable the creation of AI Agents but through different visual or programming approaches, making them alternatives in the context of building agentic applications; Tags unique to ragflow: context management, rag, retrieval-augmented-generation; Also covers Data & Retrieval; - You need an integrated RAG system with AI agent capabilities for better context management in your applications.

When should I avoid Flowise?

AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

When should I avoid ragflow?

- If you specifically require a non-Golang developed RAG engine, as RAGFlow is built entirely in Go. - Your setup does not support or need Docker (RAGFlow requires building a Docker image that is approximately 2 GB). - You cannot use external LLM services and embedding services, as RAGFlow relies on them to function.

Is Flowise or ragflow more popular on GitHub?

ragflow has more GitHub stars (84,818 vs 54,613). Stars measure visibility, not whether either tool fits your constraints.

Are Flowise and ragflow open source?

Yes - both are open-source projects on GitHub (Flowise: Other, ragflow: Apache-2.0).

Where can I find alternatives to Flowise or ragflow?

GraphCanon lists graph-backed alternatives at Flowise alternatives and ragflow alternatives (Flowise markdown twin, ragflow markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, Flowise or ragflow?

Flowise: Very active. ragflow: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for Flowise and ragflow?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Flowise trust report; ragflow trust report.